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Paola PIERLEONI

Pubblicazioni

Paola PIERLEONI

 

126 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
78 4 Contributo in Atti di Convegno (Proceeding)
32 1 Contributo su Rivista
9 5 Altro
7 2 Contributo in Volume
Anno Risorsa
2019 Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance Comparison
IEEE ACCESS
Autore/i: Pierleoni, P.; Concetti, R.; Belli, A.; Palma, L.
Classificazione: 1 Contributo su Rivista
Abstract: Internet of Things (IoT) aims to connect the real world made up of devices, sensors and actuators to the virtual world of Internet in order to interconnect devices with each other generating information from the gathered data. Devices, in general, have limited computational power and limited storage capacity. Cloud Computing (CC) has virtually unlimited capacity in terms of storage and computing power, and is based on sharing resources. Therefore, the integration between IoT and CC seems to be one of the most promising solutions. In fact, many of the biggest companies that offer Cloud Services are focusing on the IoT world to offer services also in this direction to their users. In this paper we compare the three main Cloud Platforms (Amazon Web Services, Google Cloud Platform and Microsoft Azure) regarding to the services made available for the IoT. After describing the typical architecture of an IoT application, we map the Cloud-IoT Platforms services with this architecture analyzing the key points for each platform. At the same time, in order to conduct a comparative analysis of performance, we focus on a service made available by all platforms (MQTT middleware) building the reference scenarios and the metrics to be taken into account. Finally, we provide an overview of platform costs based on different loads. The aim is not to declare a winner, but to provide a useful tool to developers to make an informed choice of a platform depending on the use case.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275167 Collegamento a IRIS

2019 A Smart Inertial System for 24h Monitoring andClassification of Tremor and Freezing of Gait inParkinson’s Disease
IEEE SENSORS JOURNAL
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; Bazgir, Omid; MAURIZI, LORENZO; Paniccia, Michele; PALMA, LORENZO
Classificazione: 1 Contributo su Rivista
Abstract: The main objective of this study is the realization of advanced methods of automatic evaluation and continuous monitoring tools for the support to the medical evaluation of Parkinson’s disease (PD) and to the follow up of the patient also through the presentation and classification of data through a universally recognized clinical scale. We have developed an embedded wearable device integrating a tri-axial accelerometer, a tri-axial gyroscope, and a tri-axial magnetometer, realizing a sensor with embedded data fusion and aggregation algorithms. Two different classification and detection algorithms are implemented to provide a comprehensive description and objective quantification of the two most investigated PD’s symptoms as tremor and freezing of gait (FoG). The system is usable in clinical and diagnostic settings showing its effectiveness above all in patients home monitoring through the upload in Cloud and the real-time processing of the acquired data. In the latter case, it allows the detection and objectification of PD symptoms manifested by the patient in everyday life, thereby providing the doctor with essential information for the dosage and effective personalization of drug therapy. For the system validation, a series of tests were carried out according to a defined experimental protocol on a sample of PD patients and healthy subjects with the presence of a video recording system and under the supervision of a neurologists team. The results obtained show a system’s accuracy of 97.7% for tremor classification and 99.7% for FoG events detection.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271176 Collegamento a IRIS

2019 Doppler ultrasound dataset for the development of automatic emboli detection algorithms
DATA IN BRIEF
Autore/i: Pierleoni, P; Mercuri, M; Belli, A; Pieri, M; Marroni, A; Palma, L
Classificazione: 1 Contributo su Rivista
Abstract: The article describes a dataset of doppler ultrasound audio tracks taken on a sample of 30 divers according to the acquisition protocol defined by the Divers Alert Network. The audio tracks are accompanied by a medical evaluation for the decompression sickness risk according to the Spencer's scale levels.During the acquisition campaign, each diver in the post-dive phase was subjected to a double doppler ultrasound examination of approximately 45 seconds each one in the precordial area using a Huntleigh FD1 Fetal doppler probe. The two measurements were separated by a time of 8-10 seconds necessary for carrying out specific physical exercises designed to free the bubbles trapped in the tissues. The audio tracks were stored without compression via the TASCAM DP-004 recorder and processed in order to eliminate the noise generated by the positioning of the probe and the time interval between the two measurements.The audio tracks recorded during the acquisition campaign have been evaluated by experts belonging to three independent blind teams in order to provide an assessment of the decompression sickness risk according to Extended Spencer's scale. The specific typology of doppler ultrasound audio tracks and the associated medical evaluation according to the Spencer's scale levels make this dataset useful for the development, testing, and performance evaluation of new audio processing algorithms capable of automatically detecting bubbles in the blood vessels. (c) 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275166 Collegamento a IRIS

2019 Seismic Noise and Site Response Analysis Using Accelerometer Sensors
SENSORS & TRANSDUCERS
Autore/i: PAOLETTI, MICHELE; CONCETTI, ROBERTO; PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO
Classificazione: 1 Contributo su Rivista
Abstract: We present an analyse of the environmental noise in absence of seismic activity detected by a seismic station (located in Gualdo in the province of Macerata equipped with two type of accelerometer sensors) and compare the average H/V noise curves with the results obtained using a velocimeter. The noise can be divided into various types: sensor noise, natural environmental noise, anthropic noise, microseismic noise. In this study we want to analyse the noise in frequency domain acquired by different sensors to understand if it is possible to extrapolate useful information from the seismic noise recording acquired by accelerometer rather than by velocimeter, in order to determine the sensor’s limits.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275169 Collegamento a IRIS

2019 Spectral analysis of seismic noise using HVSR technique
1st IFSA Frequency & Time Conference (IFTC' 2019)
Autore/i: PAOLETTI, MICHELE; CONCETTI, ROBERTO; PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The aim is to analyze, in the absence of seismic activity, the environmental noise detected by a seismic station (located in Gualdo in the province of Macerata equipped with an accelerometer sensor) and compare the average HVSR noise curves with the average ones related to seismic events detected in the same station during a certain time period. The noise can be divided into various types: sensor noise, natural environmental noise, anthropic noise, microseismic noise. In this study we want to analyze both the noise and the seismic events in the frequency domain to understand if it is possible to extrapolate useful information, from the seismic noise recording acquired by accelerometer rather than by velocimeter, in order to determine sensor’s limits.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275170 Collegamento a IRIS

2019 Performance Evaluation of a Full IPv6-based Internet of Things Wireless Sensor Network
2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
Autore/i: Incipini, L.; Palma, L.; Belli, A.; Raggiunto, S.; Pierleoni, P.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper we present an IPv6 Internet of Things Wireless Sensor Network whose complete architecture has been designed and developed by our research group. Every node of this Internet of Things solution is configured with its own global IPv6 address so making possible direct connections and queries to each node. A number of these nodes have been deployed with success in the Scrovegni Chapel heritage site (Padua, Italy) to monitor and control the lighting of the Giotto's frescoes. To analyze the performances of such IoT network we have previously developed an analog Wireless Sensor Network composed of the same type of nodes and deployed in a different indoor environment. We have used this network to measure the packet loss, round trip time and goodput over the IEEE 802.15.4 channel for 6LoWPAN packets. To the best of our knowledge, this is the first operating Italian IPv6 global access Wireless Sensor Network.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275168 Collegamento a IRIS

2019 Simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement
DATA IN BRIEF
Autore/i: Pierleoni, P.; Gambi, E.; Ricciuti, M.; Sbrollini, A.; Palma, L.; Belli, A.; Morettini, M.; Burattini, L.
Classificazione: 1 Contributo su Rivista
Abstract: The proposed dataset provides a complete set of simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement. Data were acquired on a total of 20 healthy white Caucasian subjects wearing no makeup (10 males and 10 females; age: 22.50 ± 1.57 years; height: 173 ± 10 cm; weight: 62.80 ± 9.52 kg) and consisted of: i) videos of the subject's face acquired by a RGB-D (Red, Green, Blue and Depth) camera (Microsoft Kinect v2), which is a contactless device; ii) electrocardiographic (ECG) recordings acquired by a clinical Holter ECG recorder (Global Instrumentation's M12R Holter), which is a wearable device; and iii) heart-rate measurements acquired from a commercial smartwatch (Moto 360 smartwatch by Motorola), which is also a wearable device. ECG recordings were processed to extract the R-peaks position and obtain a reference indirect measurement of the heart rate. A direct measurement of the heart rate was provided by the commercial smartwatch. The dataset here presented could be useful to develop new algorithms for heart-rate detection from contactless devices and to validate contactless heart-rate estimation in comparison to reference heart rate from clinical wearable devices and to heart rate from commercial wearable devices.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/269568 Collegamento a IRIS

2019 A dataset for the development and optimization of fall detection algorithms based on wearable sensors
DATA IN BRIEF
Autore/i: Cotechini, Valentina; Belli, Alberto; Palma, Lorenzo; Morettini, Micaela; Burattini, Laura; Pierleoni, Paola
Classificazione: 1 Contributo su Rivista
Abstract: This paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL), each repeated 3 times. In details, data includes 4 simulated falls forward (falling on knees ending up lying, ending in lateral position, ending up lying, ending up lying with recovery), 4 backward (falling sitting ending up lying, ending in lateral position, ending up lying, ending up lying with recovery), 2 lateral right (ending up lying, ending up lying with recovery), 2 lateral left (ending up lying, ending up lying with recovery), and 1 syncope. Simulated ADL are: lying on a bed then standing; walking a few meters; sitting on a chair then standing; go up or down three steps; and standing after picking something. Data were acquired using a MARG sensor, a wearable multisensory device tied to the subject's waist, that recorded time-variations of the subject's acceleration and orientation (expressed through the yaw, pitch and roll angles). These data can be useful in the development and test of algorithms to automatically identify and classify fall events. Fall detection systems are particularly useful when a subject is alone and not able to stand up after a fall, since an automatic alarm can be sent remotely to receive proper help.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/264666 Collegamento a IRIS

2019 Real-Time Smart Monitoring System for Atrial Fibrillation Pathology
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; GENTILI, ANDREA; INCIPINI, LORENZO; PALMA, LORENZO; RAGGIUNTO, SARA; SBROLLINI, AGNESE; BURATTINI, Laura
Classificazione: 1 Contributo su Rivista
Abstract: Atrial Fibrillation (AF) is a common cardiac pathology and, due to its unpredictability, it sometimes remains not detected. Aim of this work is to present a new version of the already published eHealth system, that includes a new real-time Android application for AF detection and monitoring. The proposed eHealth system is composed of a commercial wearable sensor device (Bioharness 3.0 by Zephyr) for cardiac monitoring and a specially developed Android smartphone application. This application is able to real-time processing the raw data sensed from the wearable sensor, providing stress detection, calories consumption estimation, sinus arrhythmia detection, sinus rhythm classification, and apnea detection. As novelty, the new smartphone application also implemented a SVM-based algorithm designed to detect AF episodes by handling electrocardiogram and the heart-rate sequence of the subjects. The performance of the new SVM-based algorithm implemented in eHealth was tested on AF recordings and evaluated in term of sensitivity and specificity. The results show a sensitivity of 78% and a specificity of 66%, making this version of eHealth system suitable for real-time monitoring of AF events.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272283 Collegamento a IRIS

2019 IoT Solution based on MQTT Protocol for Real-Time Building Monitoring
Proceedings of 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT)
Autore/i: Pierleoni, P.; Conti, M.; Belli, A.; Palma, L.; Incipini, L.; Sabbatini, L.; Valenti, S.; Mercuri, M.; Concetti, R.
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents an IoT architecture for continuous and real-time building monitoring. The proposed solution is based on a sensor node positioned inside the building to be monitored, connected to the Internet, able to perform continuous measurements and to real-time send raw data to a remote server through the MQTT protocol. Thanks to the development of a specific Web application, each authorized user can access the real-time information on the health status of the structure, the history of the measurements and, if necessary, to send commands to the sensor node. The goal is to provide a low-cost, reliable and replicable system for the implementation of a widespread sensors network for structural monitoring.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/267721 Collegamento a IRIS

2019 An EMD-based algorithm for emboli detection in echo doppler audio signals
ELECTRONICS
Autore/i: Pierleoni, P.; Palma, L.; Belli, A.; Pieri, M.; Maurizi, L.; Pellegrini, M.; Marroni, A.
Classificazione: 1 Contributo su Rivista
Abstract: Divers’ health state after underwater activity can be assessed after the immersion using precordial echo Doppler examination. An audio analysis of the acquired signals is performed by specialist doctors to detect circulating gas bubbles in the vascular system and to evaluate the decompression sickness risk. Since on-site medical assistance cannot always be guaranteed, we propose a system for automatic emboli detection using a custom portable device connected to the echo Doppler instrument. The empirical mode decomposition method is used to develop a real-time algorithm able to automatically detect embolic events and, consequently, assess the decompression sickness risk according to the Spencer’s scale. The proposed algorithm has been tested according to an experimental protocol approved by the Divers Alert Network. It involved 30 volunteer divers and produced 37 echo Doppler files useful for the algorithm’s performances evaluation. The results obtained by the proposed emboli detection algorithm (83% sensitivity and 76% specificity) make the system particularly suitable for real-time evaluation of the decompression sickness risk level. Furthermore, the system could also be used in continuous monitoring of hospitalized patients with embolic risks such as post surgery ones.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/270663 Collegamento a IRIS

2019 Mimic: A cybersecurity threat turns into a fog computing agent for IoT systems
2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings
Autore/i: Incipini, L.; Belli, A.; Palma, L.; Concetti, R.; Pierleoni, P.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Fog and cloud computing are very attractive enabling technologies for Internet of Things applications. The virtualization of smart devices which compose the Internet of Things network is a promising field of research, leading to the design and development of new services and uses. To the best of our knowledge, this paper presents the first attempt to use a cybersecurity attack to realize a fog computing agent for Internet of Things systems. In particular the Man-In-The-Middle attack will be use to show the foundation of the proposed Man-In-the-Middle-Iot-Computing tool, namely MIMIC, and through the examples and tests performed we will show its potentialities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/270665 Collegamento a IRIS

2019 Databases performance evaluation for IoT systems: The scrovegni chapel use case
2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings
Autore/i: Incipini, L.; Belli, A.; Palma, L.; Concetti, R.; Pierleoni, P.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Internet of things devices are used to collect data from the physical world, and to present the results in a way well usable to the end user. Therefore, an accurate choice of the most appropriate technology for storing data collected from the network is relevant. In this paper we focus the attention on the selection of the best database management system for cultural heritage applications, in particular referring to the use case of light monitoring at the Scrovegni Chapel (Padua, Italy), to emphasize the Giotto's frescoes. For doing so, SQL and NoSQL solutions are compared, and the obtained results are used to find the best solution for this application. Moreover these results can be used as a practical reference for the more appropriate selection of the right database for real use cases.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/270664 Collegamento a IRIS

2019 Postural stability evaluation using wearable wireless sensor
International Symposium on Consumer Technologies (ISCT)
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO; PAOLETTI, MICHELE; RAGGIUNTO, SARA; PINTI, FEDERICA
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a wearable wireless sensor as a support tool used to assess the postural stability of a subject. Changes in postural steadiness are age-related. Their characterization and identification, through the development of a non-invasive device, will allow to identify persons at risk. In this work we develop an accurate device for real-time estimation of balance parameters with the aim to reduce falls in the elderly population. The proposed device embeds a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer. In order to get an accurate estimation of the displacement of the Center of Gravity (CoG) and of the Centre of Pressure (CoP), a data fusion algorithm is used. In particular, an Attitude and Heading Reference System (AHRS) has been implemented and optimized to provide an estimate of the orientation of the human body wearing the sensors. Moreover, we proposed an algorithm to evaluate the postural stability. Therefore, our algorithm has the aim of obtaining the CoG and CoP displacements in the anterior-posterior (AP) and medial-lateral (ML) directions, from the information provided by the AHRS, based on the inverse pendulum mathematical model. Results from these experiments on a population of healthy subjects suggest that the proposed device and algorithm can effectively be used for measuring CoG and CoP displacements.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271183 Collegamento a IRIS

2019 An efficient method for LED light sources characterization
ELECTRONICS
Autore/i: Raggiunto, S.; Belli, A.; Lorenzo, P.; Piergiovanni, C.; Gattari, M.; Pierleoni, P.
Classificazione: 1 Contributo su Rivista
Abstract: Digital LED drivers capable of blending the spectrum of two LED fixtures with different Correlated Color Temperatures through the LEDs' power supply control are widespread. However, the digital control of lighting systems is possible only after a careful study of the LED's response, in terms of illuminance and Correlated Color Temperature. The proposed work takes advantage of the Tunable White technology for the realization of an efficient method for LED light source characterization. In order to evaluate how the light changes as a function of the electric power supplied by the LED drivers, an experimental setup to characterize LED light sources has been designed. Starting from the data acquired from the experimental setup, a model for dimming the LED driver and obtaining the desired values of quality of light has been developed. The proposed model is based on the least squares method and its accuracy is evaluated by comparing the obtained values of illuminance and Correlated Color Temperature with those measured by an illuminance spectrophotometer. Results achieved an error of 0.3% for Correlated Color Temperature and 1.5% for illuminance using the proposed approximation functions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271168 Collegamento a IRIS

2019 Validation of a gait analysis algorithm for wearable sensors
International Symposium on Sensors and Instrumentation in Internet of Things Era (ISSI)
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO; Mercuri, Marco; VERDINI, Federica; FIORETTI, Sandro; Madgwick, Sebastian; PINTI, FEDERICA
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The world population ageing and the increase of health costs make necessary the development of new technologies and IoT solutions. Smart and wearable systems can improve people's lives, monitoring the elderly and transforming everyday living environments into more connected and sustainable systems. Due to ageing, people tend to suffer more and more from motor problems, so gait analysis is fundamental for many medical and health applications. In this paper, we propose a wearable sensors system for gait analysis constituted of a triaxial accelerometer, gyroscope, and magnetometer with efficient gait analysis algorithms. In this study we have developed an algorithm for the estimation of percentage duration of double support, stride length and stride speed. The results obtained from comparison with the gold standard show errors of 4.3 % for double support duration, 5.9 % for stride length, and 6.3 % for stride speed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271172 Collegamento a IRIS

2019 A Cross-Protocol Proxy for Sensor Networks Based on CoAP
International Symposium on Consumer Technologies (ISCT)
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO; INCIPINI, LORENZO; RAGGIUNTO, SARA; Marco, Mercuri; CONCETTI, ROBERTO; SABBATINI, LUISIANA
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Smart technologies able to support people during their daily life, such as those linked to the Ambient Assisted Living (AAL) world, are gaining importance in today's context. In this regard, solutions to problems arising from the need to connect constrained networks with the internet are essential. In fact, constrained network, being a particular wireless network made of devices that have limited computational power and limited storage capacity, strongly differ from the internet network. Communication protocols try to overcome the issues related to the interconnection of smart devices in our smart world with the internet. A lot of efforts have been made in this direction, ending up with the creation of several different protocols and among them, in the applications context, the CoAP (Constrained Application Protocol) one is becoming increasingly relevant. The emergence of new protocols forces the need for developing proxying systems able to intermediate between the two kind of networks and to translate between the relative protocols. In this paper we are going to present a cross-protocol proxy able to broker among the HTTP, MQTT and CoAP protocols and also able to implement the caching function, that as we will deepen, is an essential contributor for the timeliness of communications. The proposed cross-protocol proxy has been tested under four operating conditions, in terms of Throughput and Round Trip Time. The results show excellent performances for both metrics taken into account, especially when the caching feature is enabled.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271175 Collegamento a IRIS

2019 Self-Monitoring of Cardiac Risk while Running Around Ancona
2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
Autore/i: Sbrollini, A.; Caraceni, G.; Nasim, A.; Marcantoni, I.; Morettini, M.; Belli, A.; Pierleoni, P.; Burattini, L.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Running is the most common physical activity. Being an aerobic activity, it can act as a trigger for critical cardiac events that may degenerate in sport-related sudden cardiac death. Nowadays, smartphone applications combined with wearable sensors are typically used to monitor runner's performance during training, but almost never to evaluate their cardiac risk conditions. Thus, aim of this study was to propose CaRiSMA as a useful Android application for self-monitoring of cardiac activity of runners while wearing a cardiac sensor and running by strictly following a route around the city of Ancona (6.1 Km). Cardiac data from 10 young runners were recorded and transferred to a smartphone to be analyzed by CaRiSMA, an Android application that provides two traffic lights as output, relative to cardiac health status of the runner and correctness of training intensity. The first traffic light was green in all cases but one for which it was yellow, indicating no risk and increased risk conditions, respectively. The second traffic light was yellow in all cases, suggesting a reduction of the training intensity. In conclusion, CaRiSMA demonstrated to be a potentially useful Android application for self-monitoring of cardiac activity of runners while wearing a cardiac sensor.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272430 Collegamento a IRIS

2019 Biological age estimation using an eHealth system based on wearable sensors
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Autore/i: Pierleoni, Paola; Belli, Alberto; Concetti, Roberto; Palma, Lorenzo; Pinti, Federica; Raggiunto, Sara; Sabbatini, Luisiana; Valenti, Simone; Monteriù, Andrea
Classificazione: 1 Contributo su Rivista
Abstract: The rapid worldwide aging makes necessary the development of advanced technologies for the objective identification of diseases and disabilities onset. Accordingly, we need to regard the biological age as an alternative and more reliable indicator of the physiological decline of individuals, respect to the simple chronological age. In this paper, we present an eHealth system for estimate the biological age of elderly people starting from the assessment of the frailty phenotype. The frailty phenotype evaluation is made possible using a standard protocol for data acquisition and a cloud application for processing and storing data. The proposed eHealth system is also equipped with wireless, small and non-invasive wearable sensors for an objective evaluation of the mobility of a subject. The eHealth system is tested on a reference population in order to have an amount of data necessary for defining a model to estimate the biological age. The use of the presented system on a reference population, and the availability of data regarding their mobility, allow the validation of the proposed model for the computation of the biological age via simple and objective frailty phenotype assessment.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272273 Collegamento a IRIS

2019 Telecommunications in the ICT Age: From Research to Applications
The First Outstanding 50 Years of “Università Politecnica delle Marche”
Autore/i: BALDI, Marco; CANCELLIERI, Giovanni; CHIARALUCE, Franco; DE SANTIS, Adelmo; GAMBI, Ennio; PIERLEONI, Paola
Editore: Springer
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: The human society in the information age deeply relies on digital information processing, communication and storage. Photonic routing and switchingis expected to be exploited in future all-optical networks. Channel coding is needed in order to protect information against natural disturbances, and modern coding schemes are able to reach the ultimate limits predicted by Shannon. On the other hand, postquantum cryptography is necessary for assuring security against cyber attackers, possibly provided with quantum computers. Source coding, especially in video data compression, is recommended for optimizing the bandwidth usage. Spread spectrum systems can solve the problem of radio transmissions over common frequency bands. These technologies are of crucial importance for the evolution of networks and of the whole Internet, allowing people to interact each other and access information in the web. Nowadays, the conventional Internet of people has moved into the pervasive Internet of Things providing innovative services in a variety of application fields. In this respect, domotic systems, based on ambient and wearable sensors, appear of dramatic importance in the design of future assisted living protocols.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273365 Collegamento a IRIS

2019 IoT Network for Industrial Machine Energy Monitoring
2019 AEIT International Annual Conference (AEIT)
Autore/i: INCIPINI, LORENZO; MANCIA, Tommaso; EL MEHTEDI, Mohamad; PIERLEONI, Paola
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The need to reduce energy consumption and make industrial machines more efficient and the need to reduce energy cost by the optimization of industrial processes can be satisfied by the use of Internet of Things networks for energy monitoring. Internet of Things nodes are constrained devices with internet connectivity and limited computational resources. This paper presents an IPv6 wireless sensor network used to acquire electrical quantities related to the consumption of industrial machines. To test that system was measured the consumption of a hydraulic pump for the actuation of an MTS machine for tensile tests. The sensor node connected to the pump can be reached via its own IPv6 address, and the measured energy quantities are made available through CoAP server resources on the node itself or by the web application of the edge node. This system represent a first stage of the monitoring and control of energy consumption of Industry 4.0 processes for smart energy solutions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271974 Collegamento a IRIS

2019 A Real-Time Algorithm for PPG Signal Processing During Intense Physical Activity
IoT Technologies for Healthcare
Autore/i: Gentili, Andrea; Belli, Alberto; Palma, Lorenzo; Egi, Salih Murat; Pierleoni, Paola
Editore: Springer
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Photopletismography (PPG) is a simple, low cost and noninvasive technique, implemented by pulse-oximeters to measures several clinical parameters, such as hearth rate, oxygen saturation (Spo2), respiration and other clinical diseases. Although monitoring of these parameters at rest does not present particular problems, processing PPG signals during intensive physical activity is still a challenge, due to the presence of motion artifacts that affect its true estimation. In our work, a novel time-frequency based algorithm is presented to properly reconstruct PPG signal during intensive physical activity with respect to the ECG signal reference. Starting from raw PPG and acceleration signals, the proposed algorithm initially removes motion artifacts, providing an accurate heart rate estimation. Subsequently, it reconstructs PPG waveform based on both the heart rate information previously computed and the optimal selection of frequency-domain components representing PPG signal. Evaluating our proposed method on a dataset containing signals acquired during high speed running, we found for heart rate estimation an average absolute error of 1.20 BPM and very similar frequency dynamics between the ECG reference and PPG reconstructed HRV time series from a physiological point of view based on visual inspection.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/279246 Collegamento a IRIS

2019 Dynamic Segmented Beat Modulation Method for Denoising ECG Data from Wearable Sensors
International Symposium on Sensors and Instrumentation in Internet of Things Era (ISSI)
Autore/i: NASIM, AMNAH; PINTI, FEDERICA; GENTILI, ANDREA; BELLI, ALBERTO; PALMA, LORENZO; PIERLEONI, Paola
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Wearable electrocardiogram (ECG) sensing devices are defining the future of continuous, long-term and automatic cardiac health monitoring. The target problem for ECG acquisition and processing through patch-based wearable sensors is the noise induced by motion artifacts during daily life activities. In this work we propose an improvement of segmented beat modulation method (SBMM) with dynamic template to denoise ECG record acquired from a patch-based ECG sensor tested on healthy subjects while performing different activities: drinking coffee, typing keyboard, pressing and releasing signal electrode, walking at 1 and 3 miles per hour and running at 5 and 7 miles per hour inducing diverse motion artifacts. The robustness of the proposed algorithm is reported in terms of improvement in signal-to-noise ratio (SNR) corresponding to high, medium and low levels of input signal noise. Results stratified by daily activities indicate that dynamic-template SBMM filtering yields an overall improvement in SNR for ECG signals corrupted by motion artifacts supporting the hypothesis that the dynamic-template SBMM is an efficient denoising algorithm for ECG signal processing acquired through wearable sensors.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271174 Collegamento a IRIS

2018 A low cost wireless sensor node for building monitoring
EESMS 2018 - Environmental, Energy, and Structural Monitoring Systems, Proceedings
Autore/i: Valenti, S.; Conti, M.; Pierleoni, P.; Zappelli, L.; Belli, A.; Gara, F.; Carbonari, S.; Regni, M.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259400 Collegamento a IRIS

2018 The scrovegni chapel moves into the future: An innovative internet of things solution brings new light to giotto's masterpiece
IEEE SENSORS JOURNAL
Autore/i: Pierleoni, Paola; Belli, Alberto; Palma, Lorenzo; Valenti, Simone; RAGGIUNTO, SARA; Incipini, Lorenzo; Ceregioli, Piergiovanni
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a complete architecture of an innovative wireless sensor network able to real-time monitor and control complex lighting systems such as the newly installation at the Scrovegni Chapel, Padua, Italy, representing the first world example in cultural heritage field. The realization effectively creates the Internet of Things paradigm, since all its components are directly connected to the Internet and each other thanks to global IPv6 addresses. The new IoT lighting system represents a “restoration of perception” project because the luminaries can be controlled in intensity and color temperature based on natural light and the desired rendering. In the initial phase, specifically designed sensors measure indoor lighting variations and this monitoring will be extended for a sufficient time to determine the proper control actions. Furthermore, besides adjusting the illuminance and color temperature for aesthetic and perceptual purposes, the system can also real-time monitor and control a variety of environmental parameters, fundamental for cultural heritage conservation, providing long-term studies of correlations between artificial light, natural light, and lighting performance, and also to evaluate over time the conservative aspects correlating them with any other critical environmental condition. The control of exposure to artificial light is also important in other contexts because light can interfere with biological processes controlled by endogenous circadian rhythms, with possible negative consequences for health results. Finally, this architectural solution can be extended to a complete Smart City system that integrates cultural heritage as one of the countless elements to be monitored and controlled in the city.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/260202 Collegamento a IRIS

2018 Performance Evaluation of a Low-Cost Sensing Unit for Seismic Applications: Field Testing during Seismic Events of 2016-2017 in Central Italy
IEEE SENSORS JOURNAL
Autore/i: Pierleoni, Paola; Marzorati, Simone; Ladina, Chiara; Raggiunto, Sara; Belli, Alberto; Palma, Lorenzo; CATTANEO, MARCO; Valenti, Simone
Classificazione: 1 Contributo su Rivista
Abstract: We propose a low-cost and low-power consumption device for seismic monitoring consisting of three single-axis accelerometers connected to a data logger with acquisition, synchronization, and transmission functionalities. The device was designed to be densely and prolifically deployed in high seismic risk areas, thus strengthening the Italian seismic network and providing a more accurate estimation of shaking maps. Moreover, the availability of such low-cost and high-performance units can allow the widespread diffusion of smart systems for seismic and structural monitoring, finalized to collapses prevention in critical structures, such as schools and hospitals, as well as constitute the founding nucleus of early warning systems based on Internet of Things architectures. The realized station was submitted to a testing phase, placing it contiguously to a high-performance seismic station located in central Italy and responsible for national seismic monitoring. The test station, installed from September 2016 to March 2017, was able to record the significant and numerous earthquakes that devastated central Italy during this period. The simultaneous acquisition of these seismic events by the sensors of the national seismic network, including that co-sited with the device under test, has furnished sufficient data for the device validation and performance quantification. A comparative analysis was performed through waveforms correlations study, strong motion parameters estimation, and spectral analysis. The proposed device demonstrated performances very close to those of more sophisticated and expensive systems. Therefore, it can effectively replace them or be added in engineering and civil protection applications and, finally, be used in earthquake early warning systems.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/260203 Collegamento a IRIS

2018 A non-invasive method for biological age estimation using frailty phenotype assessment
Lecture Notes in Electrical Engineering
Autore/i: Pierleoni, Paola; Belli, Alberto; CONCETTI, ROBERTO; Palma, Lorenzo; PINTI, FEDERICA; Raggiunto, Sara; Valenti, Simone; Monteriù, Andrea
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: The human body has two different ages: a Chronological Age (CA), the actual time a person has been alive, and a Biological Age (BA), the real age that indicate the decline in health and in function ability during aging. Among previous studies, some authors proposed methodologies to estimate the Biological Age starting from non-invasive frailty measurements to evaluate the Frailty Index, others proposed invasive and expensive methods to measure the biological aging. Conversely, in this paper we propose a method to estimate the BA of a subject based on the assessment of the Frailty Phenotype. This type of evolution allows an efficient estimation of the frailty in contrast with the Frailty Index which is composed by a long checklist of clinical conditions and diseases to be evaluated from medical staff. We developed a cloud application, able to store and elaborate the data acquired during the evaluation protocol of the Frailty Phenotype, and also able to automatically provide the state of phenotypic fragility, and finally the Biological Age of a subject.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/264252 Collegamento a IRIS

2018 A classification system for assessment and home monitoring of tremor in patients with Parkinson's disease
JOURNAL OF MEDICAL SIGNALS AND SENSORS
Autore/i: Bazgir, Omid; Habibi, SeyedAmir Hassan; Palma, Lorenzo; Pierleoni, Paola; Nafees, Saba
Classificazione: 1 Contributo su Rivista
Abstract: Background: Tremor is one of the most common symptoms of Parkinson's disease (PD), which is widely being used in the diagnosis procedure. Accurate estimation of PD tremor based on Unified PD Rating Scale (UPDRS) provides aid for physicians in prescription and home monitoring. This article presents a robust design of a classification system to estimate PD patient's hand tremors and the results of the proposed system as compared to the UPDRS. Methods: A smartphone accelerometer sensor is used for accurate and noninvasive data acquisition. We applied short-time Fourier transform to time series data of 52 PD patients. Features were extracted based on the severity of PD patients' hand tremor. The wrapper method was employed to determine the most discriminative subset of the extracted features. Four different classifiers were implemented for achieving best possible accuracy in the estimation of PD hand tremor based on UPDRS. Of the four tested classifiers, the Naive Bayesian approach proved to be the most accurate one. Results: The classification result for the assessment of PD tremor achieved close to 100% accuracy by selecting an optimum combination of extracted features of the acceleration signal acquired. For home health-care monitoring, the proposed algorithm was also implemented on a cost-effective embedded system equipped with a microcontroller, and the implemented classification algorithm achieved 93.8% average accuracy. Conclusions: The accuracy result of both implemented systems on MATLAB and microcontroller is acceptable in comparison with the previous works. © 2018 Journal of Medical Signals & Sensors | Published by Wolters Kluwer - Medknow.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/260204 Collegamento a IRIS

2018 A eHealth system for atrial fibrillation monitoring
Lecture Notes in Electrical Engineering
Autore/i: Pierleoni, Paola; Belli, Alberto; Gentili, Andrea; Incipini, Lorenzo; Palma, Lorenzo; Valenti, Simone; Raggiunto, Sara
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: In clinical practice the ability to monitor arrhythmia episodes in elderly people is helpful to make an accurate diagnosis and choose the proper therapeutic interventions to reduce potential health risk. In this paper we propose an eHealth system to detect atrial fibrillation events as well as provide information about patient’s health status using commercial devices such as a smartphone and a wearable sensor for heart rate monitoring. Our solution consists of a smartphone application able to real time process raw data from the wearable sensor, detect critical events for the patient’s health status, and generate remote alert to medical staff. In the smartphone application a SVM-based algorithm to detect arrhythmia episodes by handling electrocardiogram signal is implemented. To test the performance of the developed eHealth system, the proposed algorithm has been evaluated using acquisitions with atrial fibrillation events. The results show a sensitivity of 94% and a specificity of 93%.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/264253 Collegamento a IRIS

2018 Design and Implementation of an Underwater Telemetric Glucose Monitoring System for Scuba Divers
Hittite Journal of Science and Engineering
Autore/i: Murat Egi, S.; ALTEPE, CORENTIN; Pieri, Massimo; Ruzgar Sinoplu, D.; Cialoni, Danilo; Özyiğit, Tamer; PIERLEONI, Paola; MARRONI, ALESSANDRO
Classificazione: 1 Contributo su Rivista
Abstract: Despite the abundance of telemetric applications for ecology, behaviour and physiology of marine life, few efforts were reported about the use of acoustic telemetry for SCUBA divers. Such systems are required to follow the medical conditions of divers with chronic health problems such as diabetics. This study communicates the details of a study to design, manufacture and test a prototype system that measures the blood glucose while diving and transmit the results in real time to the surface. A subcutaneous glucose sensor placed on the diver transmits wirelessly the glycaemia data to a microcontroller based RF receiver board placed in a custom built waterproof casing. This board works as a relay to transmit the blood glucose value to an acoustic modem SAM-1 (Desert Star Systems LLC, Monterey Bay, CA, USA) via RS232 serial communication. The modem transmits the data to the other modem, which is placed underwater at 1 m depth with a maximum baud rate of 100 bit/sec with ultrasound communication. Finally, the data reaches a portable computer from RS232 serial interface of the acoustic modem. The data is displayed and logged on the computer based at the surface. The whole system is tested to 11 Bar in hyperbaric chamber. The acoustical data link is first established between two computers located at surface to test the reliability of the communication. The acoustical link experiments were successful for 20 minutes of simulated signals for the depth, interstitial glycaemia, breathing frequency and temperature information. The overall efficiency was 80.1%, with 474 bytes sent and 378 bytes received. The bandwidth of the acoustical link is very low (max 4 reading/min) but is adequate for glycaemia monitoring that can be as low as 1 reading every 5 minutes. Finally the system recorded the interstitial glucose of divers in 8 open water dives successfully and will be beneficial for studying diabetic divers. The system has a potential to be used to verify and optimize the existing protocols on diabetic divers. It offers as well an emergency system to monitor the non-diabetic divers during extreme exposures such as saturation diving
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/278066 Collegamento a IRIS

2017 Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices
SENSORS
Autore/i: Gambi, Ennio; Agostinelli, Angela; Belli, Alberto; Burattini, Laura; Cippitelli, Enea; Fioretti, Sandro; Pierleoni, Paola; Ricciuti, Manola; Sbrollini, Agnese; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Contactless detection is one of the new frontiers of technological innovation in the field of healthcare, enabling unobtrusive measurements of biomedical parameters. Compared to conventional methods for Heart Rate (HR) detection that employ expensive and/or uncomfortable devices, such as the Electrocardiograph (ECG) or pulse oximeter, contactless HR detection offers fast and continuous monitoring of heart activities and provides support for clinical analysis without the need for the user to wear a device. This paper presents a validation study for a contactless HR estimation method exploiting RGB (Red, Green, Blue) data from a Microsoft Kinect v2 device. This method, based on Eulerian Video Magnification (EVM), Photoplethysmography (PPG) and Videoplethysmography (VPG), can achieve performance comparable to classical approaches exploiting wearable systems, under specific test conditions. The output given by a Holter, which represents the gold-standard device used in the test for ECG extraction, is considered as the ground-truth, while a comparison with a commercial smartwatch is also included. The validation process is conducted with two modalities that differ for the availability of a priori knowledge about the subjects' normal HR. The two test modalities provide different results. In particular, the HR estimation differs from the ground-truth by 2% when the knowledge about the subject's lifestyle and his/her HR is considered and by 3.4% if no information about the person is taken into account.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250486 Collegamento a IRIS

2017 A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals
BIOMEDICAL INFORMATICS INSIGHTS
Autore/i: Pierleoni, Paola; Maurizi, Lorenzo; Palma, Lorenzo; Belli, Alberto; Valenti, Simone; Marroni, Alessandro
Classificazione: 1 Contributo su Rivista
Abstract: The use of precordial Doppler monitoring to prevent decompression sickness (DS) is well known by the scientific community as an important instrument for early diagnosis of DS. However, the timely and correct diagnosis of DS without assistance from diving medical specialists is unreliable. Thus, a common protocol for the manual annotation of echo Doppler signals and a tool for their automated recording and annotation are necessary. We have implemented original software for efficient bubble appearance annotation and proposed a unified annotation protocol. The tool auto-sets the response time of human "bubble examiners," performs playback of the Doppler file by rendering it independent of the specific audio player, and enables the annotation of individual bubbles or multiple bubbles known as "showers." The tool provides a report with an optimized data structure and estimates the embolic risk level according to the Extended Spencer Scale. The tool is built in accordance with ISO/IEC 9126 on software quality and has been projected and tested with assistance from the Divers Alert Network (DAN) Europe Foundation, which employs this tool for its diving data acquisition campaigns.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252890 Collegamento a IRIS

2017 Design and Validation of a Breathing Detection System for Scuba Divers
SENSORS
Autore/i: Altepe, Corentin; Murat Egi, S.; Ozyigit, Tamer; Sinoplu, D. Ruzgar; Marroni, Alessandro; PIERLEONI, Paola
Classificazione: 1 Contributo su Rivista
Abstract: Drowning is the major cause of death in self-contained underwater breathing apparatus (SCUBA) diving. This study proposes an embedded system with a live and light-weight algorithm which detects the breathing of divers through the analysis of the intermediate pressure (IP) signal of the SCUBA regulator. A system composed mainly of two pressure sensors and a low-power microcontroller was designed and programmed to record the pressure sensors signals and provide alarms in absence of breathing. An algorithm was developed to analyze the signals and identify inhalation events of the diver. A waterproof case was built to accommodate the system and was tested up to a depth of 25 m in a pressure chamber. To validate the system in the real environment, a series of dives with two different types of workload requiring different ranges of breathing frequencies were planned. Eight professional SCUBA divers volunteered to dive with the system to collect their IP data in order to participate to validation trials. The subjects underwent two dives, each of 52 min on average and a maximum depth of 7 m. The algorithm was optimized for the collected dataset and proved a sensitivity of inhalation detection of 97.5% and a total number of 275 false positives (FP) over a total recording time of 13.9 h. The detection algorithm presents a maximum delay of 5.2 s and requires only 800 bytes of random-access memory (RAM). The results were compared against the analysis of video records of the dives by two blinded observers and proved a sensitivity of 97.6% on the data set. The design includes a buzzer to provide audible alarms to accompanying dive buddies which will be triggered in case of degraded health conditions such as near drowning (absence of breathing), hyperventilation (breathing frequency too high) and skip-breathing (breathing frequency too low) measured by the improper breathing frequency. The system also measures the IP at rest before the dive and indicates with flashing light-emitting diodes and audible alarm the regulator malfunctions due to high or low IP that may cause fatal accidents during the dive by preventing natural breathing. It is also planned to relay the alarm signal to underwater and surface rescue authorities by means of acoustic communication.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248913 Collegamento a IRIS

2017 Sensing Light with LEDs: Performance Evaluation for IoT Applications
JOURNAL OF IMAGING
Autore/i: INCIPINI, LORENZO; Belli, Alberto; Palma, Lorenzo; Ballicchia, Mauro; Pierleoni, Paola
Classificazione: 1 Contributo su Rivista
Abstract: The Internet of Things includes all the technologies allowing the connection of everyday objects to the Internet, in order to gather measurements of physical quantities and interact with the surrounding environments through telecommunication devices with embedded sensing and actuating units. The measurements carried out with different LEDs demonstrate the possibility of using these devices both as transmitters and as optical sensors, in addition to their ability to discriminate incident wavelengths, thus making them bi-directional transceivers for Internet of Things (IoT) applications, particularly suitable in the context of Visible Light Communication (VLC). In particular, a methodological tool is provided for selecting the LED sensor for VLC applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252892 Collegamento a IRIS

2016 Design and energetic analysis of a self-powered Bluetooth low energy speed sensor
EEEIC 2016 - International Conference on Environment and Electrical Engineering
Autore/i: Buccolini, Luca; Pierleoni, Paola; Conti, Massimo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Most of the speedometers on bicycles uses batteries. Batteries are polluting materials and they must be replaced. This paper presents an implementation of a self-powered speed sensor that uses energy harvesting to power itself, it measures the speed and transmits the data using Bluetooth Low Energy (BLE) to external devices such as smartphones. The energy harvester is a coil that acts as sensor, too. A prototype of the sensor has been built and a voltage regulation circuit has been simulated by using a SPICE simulator. Furthermore, a custom firmware has been designed using a Bluetooth Low Energy nRF51822 SoC by Nordic Semiconductor and the parameters of the BLE connection has been accurately chosen to obtain low energy consumptions. Finally, the energy balance between the harvested energy by the coil and the used energy by the SoC has been accomplished. The results demonstrate the technical feasibility of the self-powered BLE speed sensor for bicycles.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246597 Collegamento a IRIS

2016 Highly Accurate Wearable Attitude and Heading Reference System for kinematics assessment and AAL applications
2016 International Workshop on Analysis of Biometric Parameters to detect relationship between stress and sleep quality
Autore/i: Pierleoni, Paola; Pernini, Luca; Belli, Alberto; Maurizi, Lorenzo; Palma, Lorenzo; Valenti, Simone
Editore: 2016 International Workshop on Analysis of Biometric Parameters to detect relationship between stress and sleep quality
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper we propose a wireless wearable device useful for a series of real-time monitoring functions depending on the desired application and the placement of the unit on the body of the subject. It contains a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer, realizing an Attitude Heading Reference System (AHRS), plus a barometric unit. The AHRS provides the correct 3D orientation referred to the terrestrial axis through an implemented data fusion algorithm. On the sensor board can also be real time execute the automatic fall detection algorithm, handling the orientation data from AHRS and the acceleration data from the triaxial accelerometer, in addition to the orientation filtering that corrects the raw data coming from the barometer to furnish the right altitude of the subject. Based on the excellent results achieved the proposed AHRS, we have developed a series of custom devices for the automatic evaluation of kinematic parameters useful to the diagnosis of certain pathologies. In particular, the developed AHRS has been used as an aid to clinical diagnosis of patients with Parkinson’s disease, chronic back pain and Multiple Sclerosis.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248352 Collegamento a IRIS

2016 A Versatile WSN Approach for Smart Environments in AAL Application
2016 International Workshop on Analysis of Biometric Parameters to detect relationship between stress and sleep quality
Autore/i: Pierleoni, Paola; Pernini, Luca; Belli, Alberto; Maurizi, Lorenzo; Palma, Lorenzo; Valenti, Simone
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: We propose the general architecture of a scaled physical world that is richly and invisibly interwoven with a variety of heterogeneous sensors, actuators, seamlessly embedded in everyday live objects, and connected through a unique IPv6 wireless network. The use of the Internet Protocol (IP) stack in Wireless Sensor Networks architecture is a key prerequisite for the Internet of Things (IoT) paradigm. The ability to connect thousands of smart objects, scattered across physical environment, directly to the Internet opens exciting scenarios for a variety of application areas, such as e-health, smart metering, smart home, logistics, home automation, AAL, etc. Furthermore, it allows to achieve the desired interoperability requirement between the previous systems that to date make use of heterogeneous protocols and G2G communications. The strength of the developed system is its versatility and scalability relatively to the number and density of deployed nodes, network typology and types of actuators and sensing units that can be easily integrated in each node. The variety of measurements for the constant care and safety of person living in the environment monitored by the WSN can be easily extended by adding to the network new types of nodes. The paper describes the proposed system’s major building blocks, its functionalities, the implementation approach and the realized application for indoor localization.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248351 Collegamento a IRIS

2016 Real-time Monitoring of Cardiac and Respiratory Activities Using a Consumer Wearable Device
2016 International Workshop on Analysis of Biometric Parameters to detect relationship between stress and sleep quality
Autore/i: Pernini, L.; Pierleoni, P.; Belli, A.; Maurizi, L.; Palma and S Valenti, L. Palma and S. Valenti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248353 Collegamento a IRIS

2016 IPv6 WSN solution for integration and interoperation between smart home and AAL systems
SAS 2016 - Sensors Applications Symposium, Proceedings
Autore/i: PALMA, LORENZO; PERNINI, LUCA; BELLI, ALBERTO; VALENTI, SIMONE; MAURIZI, LORENZO; PIERLEONI, Paola
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The latest advances in electronic and telecommunication have led to the introduction of intelligent and complex systems: the Wireless Sensor Networks. This technology has become even more important with the advent of the Internet of Things: each node acquires an IPv6 address and can be directly accessed from remote when the switch from IPv4 to IPv6 will take place. Such systems are actually applied in environment monitoring, home automation, industry, and lot of other fields. The Ambient Assisted Living scenery is a perfect field of application for sensor networks based on the IP protocol. The monitoring of elderly people, the automation of home appliances and the assistance to the person can be easily achieved through a network based on IPv6. Furthermore, such a system allows to obtain a maximum interoperability with existent networks, avoiding the need for inconvenient gateways to interface systems with different communication protocols. The presented work describes a complete hardware and software system able to solve the interoperability issue among Smart Home and Ambient Assisted Living. Sub GHz frequency, mesh topology and low power consumption give a competitive advantage to the system against Bluetooth Low Energy or ZigBee technology.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246598 Collegamento a IRIS

2016 Nerites - Underwater Monitoring System of Diver’s Respiration and Regulator Performance using Intermediate Pressure Signal
Volume 1 - BIODEVICES
Autore/i: ALTEPE, CORENTIN; Murat Egi, S.; Ozyigit, Tamer; PIERLEONI, Paola
Editore: SCITEPRESS – Science and Technology Publications, Lda.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This study is about a system for monitoring the breathing cycles of divers and the functioning of regulators underwater. It warns the diver and other surrounding divers in case of long time cessation of respiration or if the regulator’s intermediate pressure is out of predefined limits, enabling immediate intervention to regulator and breathing problems. The system is equipped with two pressure sensors and a microprocessor. It can be quickly mounted on the scuba diver’s equipment to sense distortions in the intermediate pressure and to sense the depth while underwater. Generally all data, including dive profile, are logged and transferable to PC for post-dive analysis. The low and high level alarms enable immediate intervention in case of breathing or regulator problems. Major benefits of the system are rapid detection of respiration and regulator problems and ease of locating an unconscious or deceased diver. Additionally, this system aims at contributing to decompression illness research and at helping regulator manufacturers with the data it will collect while underwater. While this study focuses on the hardware development of the system, breathing detection algorithms are currently being studied and optimized off-line using data collected by the system.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235670 Collegamento a IRIS

2016 A Wearable Fall Detector for Elderly People Based on AHRS and Barometric Sensor
IEEE SENSORS JOURNAL
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; MAURIZI, LORENZO; PALMA, LORENZO; PERNINI, LUCA; Paniccia, Michele; VALENTI, SIMONE
Classificazione: 1 Contributo su Rivista
Abstract: Falls and their consequences are among the major health care problems affecting functional mobility and quality of life of elderly people. Even for people living independently, falls are common occurrences. In this paper, we present a waist-mounted device useful to detect possible falls in elderly people. Through data coming from a 3-axis accelerometer, a 3- axis gyroscope, a 3-axis magnetometer and a barometer sensor integrated into our device, we are able to obtain a highly accurate estimation about posture and altitude of the subject. By means of such information we have developed an extremely efficient system for fall detection reaching 100% of sensitivity in commonly adopted testing protocols. Particularly, the algorithm was tested according with three different experimental protocols where volunteers performed several scenarios including various types of falls, falls with recovery and daily living activities frequent in the elderly. Results show that the proper combined use of the four sensors and efficient data fusion algorithms allow to achieve noticeable better performances to those obtained with similar systems proposed in the literature.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246593 Collegamento a IRIS

2016 An innovative WebRTC solution for e-Health services
2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016
Autore/i: PIERLEONI, Paola; PERNINI, LUCA; PALMA, LORENZO; BELLI, ALBERTO; VALENTI, SIMONE; MAURIZI, LORENZO; SABBATINI, LORIS; MARRONI, ALESSANDRO
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Solutions and services for e-Health and telemedicine are constantly spreading and becoming increasingly important in the health area thanks to last innovations in electronics, informatics and telecommunications. This work proposes an innovative service for the e-Health oriented to the maximum ease of use and to the sharing of vital signs. The proposal consists in a tele-counseling service based on the WebRTC technology that allows any person residing remotely from medical staff or hospital to directly interact with them. Our solution provides all the common functions of the WebRTC, such as real-time video and audio streams, instant messaging, and file sharing with the only requirement of a traditional web browser. Beyond that, we implemented the real-time transmission and visualization of vital signs and parameters acquired by biomedical sensors connected to the patient's personal device through the RTCDataChannel. Currently our solution involves the installation of a browser extension, but this operation is very simple and may be avoided when WebRTC APIs and browsers will support media streams coming from sensors at the same way as audio and video streams. Our solution demonstrates how web technologies can be applied in the health sector providing very effective services to patients and users which for various reasons have difficulties to travel to hospitals in order to have medical support.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246594 Collegamento a IRIS

2016 Indoor localization system for AAL over IPv6 WSN
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Autore/i: PIERLEONI, Paola; PERNINI, LUCA; BELLI, ALBERTO; PALMA, LORENZO; MAURIZI, LORENZO; VALENTI, SIMONE
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Wireless Sensor Networks are becoming even more a key element in networking and telecommunications especially with the advent of the Internet of Things paradigm, where each single device obtains a unique IPv6 address and is potentially reachable from everywhere through the Internet. Such technologies can be applied in many application fields with great success in terms of optimization of costs and resources, variety of implemented features, level of customization and expandability of each solution. Ambient Assisted Living is definitely one of the most interesting area for WSN and IoT application. In this scenery we propose an applicative example of the use of a IPv6 self configuring WSN with mesh topology. The network is formed by low cost and low power sensor nodes that integrate sub-GHz radio connectivity, belonging to the so-called LLN (Low Power and Lossy Network) scenery. The network stack is fully compatible with the major RFCs about Internet and wireless communications (CSMA, 6LowPAN, uIP, UDP, CoAP, etc.). The case study is a localization system using RSSI feature and does not need additional expensive hardware to be integrated into the nodes. The system proves to be fundamental in indoor environments (houses, clinics, nursing homes) for AAL systems that require localization or tracking of patients and medical equipments. Our tests are performed in extremely complex environment and shown good results localizing targets with an average error of about 2 meters that allows to properly detect the room where targets are located.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246596 Collegamento a IRIS

2016 Validation of the Heart:Rate Signal Provided by the Zephyr BioHarness 3.0
Computing in Cardiology 2016
Autore/i: Nepi, Daniele; SBROLLINI, AGNESE; AGOSTINELLI, ANGELA; MARANESI, ELVIRA; MORETTINI, MICAELA; DI NARDO, Francesco; FIORETTI, Sandro; PIERLEONI, Paola; PERNINI, LUCA; VALENTI, SIMONE; BURATTINI, LAURA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The Zephyr BioHarness 3.0 (BH3) is a popular wearable system specifically designed for training optimization of professional athletes. BH3 provides the electrocardiogram (ECG BH3) and the heart-rate signal (HRSBH3). Aim of this study is to evaluate the reliability of HRSBH3 to assess its clinical applicability to the general population for cardiac-risk evaluations. Data were acquired from 10 healthy subjects (age: 34±17 years) during a 5-minutes rest. Since the tachogram represents the standard signal for studying the heart rate (HR) and its variability, ECG BH3 was elaborated in order to get the tachogram (HRSTG). HRSBH3 and HRSTG were compared in terms of mean HR (MHR, bpm), HR standard deviation (HRSD, bpm) and HRSD error (bpm). HRSBH3 and HRSTG provided comparable MHR (73.07±15.53 bpm vs 72.86±15.57 bpm, respectively) while HRSD by HRSBH3 was significantly lower than HRSD by HRS TG (4.51 ±2.29 bpm vs 5.63±2.99 bpm, respectively; P=0.0043). HRSD error was significantly greater than zero (0.20-3.00 bpm; P=0.0043); moreover, it was strongly correlated to HRSD by HRS TG (p=0.82, P=0.0036). Thus, HRS BH3 is appropriate only for sport applications based on MHR estimations, but not to clinical evaluations based on HRV measurements.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246953 Collegamento a IRIS

2015 An innovative IoT solution for smart environments in AAL
6th Forum Italiano dell’Ambient Assisted Living (FORITAAL 2015)
Autore/i: Pierleoni, Paola; Belli, Alberto; Palma, Lorenzo; Pernini, Luca; Maurizi, Lorenzo; Valenti, Simone
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248355 Collegamento a IRIS

2015 SVM-based fall detection method for elderly people using Android low-cost smartphones
SAS 2015 - 2015 IEEE Sensors Applications Symposium, Proceedings
Autore/i: PIERLEONI, Paola; PERNINI, LUCA; BELLI, ALBERTO; PALMA, LORENZO; VALENTI, SIMONE; Paniccia, Michele
Editore: IEEE, Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Nowadays society is moving to a scenery where autonomous elderly live alone in their houses. An automatic remote monitoring system using wearable and ambient sensors is becoming even more important, and is a challenge for the future in WSNs, AAL, and Home Automation areas. Relating to this, one of the most critical events for the safety and the health of the elderly is the fall. Lot of methods, applications, and stand-alone devices have been presented so far. This work proposes a novel method based on the Support Vector Machine technique and addressed to Android low-cost smartphones. Our method starts from data acquired from accelerometer and magnetometer, now available in all the low-end devices, and uses a set of features extracted from a processing of the two signals. After an initial training, the classification of fall events and non-fall events is performed by the Support Vector Machine algorithm. Since we have decided to use the smartphone as monitoring device, the use of other invasive wearable sensors is avoided, and the user have simply to hold the phone on his pocket. Moreover, we can use the cellular network for the eventual sending of notifications and alerts to relatives in case of falls. Actually, our tests show a good performance with a sensitivity of 99.3% and a specificity of 96%.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/228938 Collegamento a IRIS

2015 A neural network system for diagnosis and assessment of tremor in parkinson disease patients
2015 22nd Iranian Conference on Biomedical Engineering (ICBME)
Autore/i: Bazgir, O.; Frounchi, J.; Habibi, S. A. H.; PALMA, LORENZO; PIERLEONI, Paola
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Tremor is one of the most important symptom in Parkinson’s disease, which has been assessed clinically by neurologists as part of UPDRS scale. In this paper, we have implemented a supervised learning pattern recognition system to assess UPDRS of each Parkinson patient tremor to fill the absence of a reliable diagnosis and monitoring system for Parkinson patients. In our system a simple noninvasive method based on the recorded acceleration through the smartphone have been used for data acquisition. The results show high accuracy in the classifier block and neural network. A tight correlation between UPDRS scale and acceleration values reveals 91 percent accuracy by neural network with two hidden layers.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/233540 Collegamento a IRIS

2015 Performance evaluation of a Pedestrian Navigation System based on an objective experimental method
2015 12th International Workshop on Intelligent Solutions in Embedded Systems, WISES 2015
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; MAURIZI, LORENZO; PALMA, LORENZO; PERNINI, LUCA; VALENTI, SIMONE
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The ability to estimate the distance covered and the orientation of a person, regardless from where he or she is located, is an important aspect in various research areas and in particular in Pedestrian Navigation Systems (PNS) for emergency responders. In this paper we present a PNS based on a wearable wireless device attached to the instep of the pedestrian. The implemented real time algorithm, is able to identify pedestrian's strides, estimating theirs length and direction by using information provided from an embedded Inertial Measurement Unit (IMU). The proposed device is also equipped with MicroSD slot and Bluetooth module for data storage and for sending information in real time. The proposed system has been tested through an objective experimental method in which ten volunteers were walking along three different tracks, five times each, keeping the IMU attached to the instep. In the first trial subjects walked along a straight path that is 90m long, in the second they walked twice along a rectangular path with long side equal to 15m and short side equal to 7.5m and in the last they walked 400m along a standard athletics track. For each test we computed absolute and average error. The results show that the average error is 3.52% for the straight track, 1.09% for the rectangular track and 3.71% for the elliptic track.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246599 Collegamento a IRIS

2015 A High Reliability Wearable Device for Elderly Fall Detection
IEEE SENSORS JOURNAL
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO; PELLEGRINI, MARCO; PERNINI, LUCA; VALENTI, SIMONE
Classificazione: 1 Contributo su Rivista
Abstract: Falls are critical events among elderly people that requires timely rescue. In this paper, we propose a fall detection system consisting of an inertial unit that includes triaxial accelerometer, gyroscope, and magnetometer with efficient data fusion and fall detection algorithms. Starting from the raw data, the implemented orientation filter provides the correct orientation of the subject in terms of yaw, pitch, and roll angles. The system is tested according to experimental protocols, engaging volunteers who performed simulated falls, simulated falls with recovery, and activities of daily living. By placing our wearable sensor on the waist of the subject, the unit is able to achieve fall detection performance above those of similar systems proposed in literature. The results obtained through commonly adopted protocols show excellent accuracy, sensitivity and specificity, improving the results of other techniques proposed in the literature.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/228935 Collegamento a IRIS

2014 A real-time system to aid clinical classification and quantification of tremor in Parkinson's disease
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Autore/i: P. Pierleoni; L. Palma; A. Belli; L. Pernini
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The availability of an objective clinical evaluation in the diagnosis and monitoring of parkinson's disease is a primary importance objective in neurology. Furthermore, in many patients next to resting tremor typical of the disease are also found other types of tremor as kinetic and postural tremor so making the diagnosis difficult. The ability to classify the different types of tremor specific for each patient through an examination of the instrumental, non-invasive and very simple and fast is a great tool to aid the clinical diagnosis of the disease. Our system meets the above requirements. It consists of an inertial sensor that allows the acquisition of the quantities of interest, and by a series of algorithms able to provide an objective and quantitative assessment of the type and severity of tremor in patients with Parkinson's disease. The availability of an objective report on the severity of the disorder developed according to a strict correlation with the valuation provided by the UPDRS scale is a good starting point towards the personalization of care as well as being a useful tool in the analysis of the course of the disease.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/194304 Collegamento a IRIS

2014 An accurate device for real-time altitude estimation using data fusion algorithms
2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Pierleoni P.; Belli A.; Palma L.; Pernini L.; Valenti S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents an accurate system to estimate the altitude of a rigid body by fusing data from four low-cost sensors such as an accelerometer, a gyroscope, a magnetometer and an altimeter. Usually a MEMS altimeter barometric sensor allows to obtain the altitude signal from measures of atmospheric pressure and temperature but these measures are affected by noise that causes a significant error in the calculated altitude values. In order to get an accurate estimation of the altitude, in this work a complementary filter is used to fuse the raw signal of the altitude obtained from barometer sensor and vertical displacement signal calculated through a data fusion algorithm applied to the signals of the other three sensors. In order to evaluate the performance in human activity monitoring applications, the proposed device has been tested and compared with the system that currently presents the better performance for the same technology according to its experimental protocols. The results show that our device exceeds the performance provided by the currently systems reported in literature.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/194303 Collegamento a IRIS

2014 Real-time apnea detection using pressure sensor and tri-axial accelerometer
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
Autore/i: Paola Pierleoni; Luca Pernini; Alberto Belli; Lorenzo Palma
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Respiratory disorders, if diagnosed late and untreated, may cause the advancement of many pathologies especially pertaining the cardiovascular system. This study proposes a method for a fast and certain detection of apnea events. For this purpose we used a commercial device that contains a pressure sensor helpful for the measurement of breath and a tri-axial accelerometer necessary to improve the detection reliability. There are numerous commercial devices able to detect breathing, but the totality of them is oriented to sport activity monitoring and so calibrated on the upper thresholds of respiratory rate. These devices are therefore not directly used as biomedical devices specific for the detection of sleep apneas or as life-saving devices in the case of “voluntary” apneas that occur in patients with severe neurological or pathological disorders. Then, we have developed complex algorithms to process the signals in real-time for the detection of apnea events with a maximum delay of 10 s, a sensitivity of 99%, and a specificity of 100%. This paper shows how an inexpensive approach is possible to control dependably the occurrence of apneas, avoiding hospitalization and the use of complex, invasive, and expensive devices.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/202118 Collegamento a IRIS

2014 A versatile ankle-mounted fall detection device based on attitude heading systems
IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
Autore/i: Pierleoni P.; Belli A.; Palma L.; Pernini L.; Valenti S.
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper we propose a wireless wearable device for real-time fall detection attached to the ankle user. This device can also be embedded inside the footwear with similar performance and a lower invasiveness of use. It contains a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer realizing an Attitude Heading Reference System (AHRS). The AHRS provides the correct 3D orientation through an implemented data fusion algorithm. On sensor board is also implemented the automatic fall detection algorithm handling the orientation data from AHRS and the acceleration data from the triaxial accelerometer. The fall is a critical event that can cause physical and psychological effects particularly among older people. The elderly timely assistance after a fall could prevent serious health care consequences. For this reason the alarms generated by fall detection algorithm are sent to a smartphone via the Bluetooth module integrated into the device. In the smartphone runs a background application that sends sms alert to preset phone numbers or makes prerecorded phone calls after receiving alarms from the sensor node. In order to evaluate the performance of the proposed fall detection system, the developed device has been tested according to an experimental protocol in which volunteers perform simulated falls, simulated falls with recovery and activities of daily living (ADL). Our ankle-mounted devise shows a significant improvement in performance compared to other devices proposed in literature. In fact, the results of the experimental protocol show a sensitivity of 97% and a specificity of 100%.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/202120 Collegamento a IRIS

2014 Interoperability issues among smart home technological frameworks
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Rossi, Lorena; Belli, Alberto; DE SANTIS, Adelmo; Diamantini, Claudia; Frontoni, Emanuele; Gambi, Ennio; Palma, Lorenzo; Pernini, Luca; Pierleoni, Paola; Potena, Domenico; Raffaeli, Laura; Spinsante, Susanna; Zingaretti, Primo; Cacciagrano, D.; Corradini, F.; Culmone, R.; De Angelis, F.; Merelli, E.; Re, B.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193504 Collegamento a IRIS

2014 An Android-Based Heart Monitoring System for the Elderly and for Patients with Heart Disease
INTERNATIONAL JOURNAL OF TELEMEDICINE AND APPLICATIONS
Autore/i: PIERLEONI, Paola; PERNINI, LUCA; BELLI, ALBERTO; PALMA, LORENZO
Classificazione: 1 Contributo su Rivista
Abstract: The current trend in health monitoring systems is to move from the hospital to portable personal devices. This work shows how consumer devices like heart rate monitors can be used not only for applications in sports, but also for medical research and diagnostic purposes. The goal pursued by our group was to develop a simple, accurate, and inexpensive system that would use a few pieces of data acquired by the heart rate monitor and process them on a smartphone to (i) provide detailed test reports about the user's health state; (ii) store report records; (iii) generate emergency calls or SMSs; and (iv) connect to a remote telemedicine portal to relay the data to an online database. The system developed by our team uses sophisticated algorithms to detect stress states, detect and classify arrhythmia events, and calculate energy consumption. It is suitable for use by elderly subjects and by patients with heart disease (e.g., those recovering from myocardial infarction) or neurological conditions such as Parkinson's disease. Easy, immediate, and economical remote health control can therefore be achieved without the need for expensive hospital equipment, using only portable consumer devices.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/194302 Collegamento a IRIS

2014 A WSN Integrated Solution System for Technological Support to the Self-Sufficient Elderly
Ambient Assisted Living
Autore/i: PIERLEONI, Paola; BELLI, ALBERTO; PALMA, LORENZO; Michele, Palmieri; PERNINI, LUCA
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: The proposed system is basically an automatic dispenser of medicines which integrates functionalities of remote and real-time monitoring of the activities of the elderly in home environment. It includes the generation of alarms resulting from the omission of taking medicines and other critical events such as the permanence of the elderly in a room for a period not consistent with normal daily activities. The main elements of this system are a pair of LED smart lamps called MARCH’ingegno and Sibilla, the first one is the dispenser of medicines which embeds WSN coordinator role, located in the house of the elderly, the other is the displays of real-time alarms, located in the house of relatives or caregiver. The mobility monitoring system is composed of wireless sensor nodes distributed in the house of the elderly. MARCH’ingegno acquires information from these sensors through its RF interface, processes it and transfers the report to a remote web server together with the notes of taking medicines. The tests show that the system operates properly and the wireless sensor nodes ditributed at home provide an adequate coverage area and correct response times.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/202123 Collegamento a IRIS

2010 SPINE-HRV: a BSN-based Toolkit for Heart Rate Variability Analysis in the Time-Domain
Wearable and Autonomous Biomedical Devices and Systems: New issues and Characterization
Autore/i: Andreoli A. ; Gravina R. ; Giannantonio R.; Pierleoni P.; Fortino G.
Editore: Springer-Verlag
Luogo di pubblicazione: Berlin, Heidelberg
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/55280 Collegamento a IRIS

2010 Time-Domain Heart Rate Variability Analysis with the SPINE-HRV Toolkit
PETRA 2010, 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Autore/i: Andreoli, Alessandro; Gravina, R.; Giannantonio, R.; Pierleoni, Paola; Fortino, G.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: We present a tool-kit for the time domain Heart Rate Variability (HRV) analysis, namely SPINE-HRV (Signal Processing In Node Environment-HRV). The HRV is based on the analysis (time and frequency domain) of the R-peak to R-peak intervals (RR-interval). The tool-kit is composed of a wearable Heart Activity Monitoring System (HAMS) to collect the RR-interval (RRi), and a processing application developed using the SPINE framework. The HAMS used to acquire the RRi signal is self-developed; the hardware system consists of a chest belt communicating wireless with a receiver node. The RRi signal is processed using the SPINE framework through a time domain analysis of HRV. That analysis provides seven common parameters known in medicine literature to help cardiologists in the diagnosis related to several heart diseases. The results have been validated with a commonly used high accuracy HRV software tool.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/55279 Collegamento a IRIS

2009 Permanent Switchboard MonitoringUsing Embedded Web Server
ICREPQ 2009, International Conference on Renewable Energies and Power Quality
Autore/i: Fioretti F.; Pasqualini S.; Andreoli A.; Pierleoni P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/65962 Collegamento a IRIS

2009 Comparison of H.264/AVC, H.264 with AIF, and AVS based on different video quality metrics
ICT '09, 16th International Conference on Telecommunications
Autore/i: PASQUALINI S.; FIORETTI F.; ANDREOLI A.; PIERLEONI P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Video communication has a very important role nowadays. Also very efficient video coding techniques are developed in order to provide high quality video streams using all the available bandwidth. In this work we perform a comparison between three different video codecs: the ITU-T H.264, an improved ITU-T H.264 version including the AIF (Adaptive Interpolation Filter), and the AVS (Audio and Video Coding Standard) that is the Chinese standard video codec. The realized tests involve eight standard video sequences that are coded end decoded using the mentioned standards. Then, for each sequence we evaluate the video quality using four objective metrics: PSNR (Peak Signal-to-Noise Ratio), VQM (Video Quality Metric), SSIM (Structural SIMilarity), and the HSM (HVS - Human Visual System - Similarity Measure). While PSNR and VQM take into account the mathematical features of the video sequences, SSIM and HSM are based on the HVS theory. So it is possible to evaluate also the human eye perceived quality. The realized analysis is related to the relationship between the bitrate and the quality indexes. The conclusions of our analysis can give an evaluation about several codec performances and can be useful for developers to plan and manage their network. Also, taking into account the HSM scores, the AVS has better performance than the ITU-T video codecs.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47446 Collegamento a IRIS

2009 Object Oriented Framework for Remote Control and Domotics
ROSE 2009, IEEE International Workshop on Robotic and Sensors Environments
Autore/i: MILANI COMPARETTI A.; FIORETTI F.; PIERLEONI P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47447 Collegamento a IRIS

2009 Web Video Communication Framwork for a new e-Government Service
IADIS International Conference WWW/INTERNET 2009
Autore/i: Andreoli, Alessandro; Pasqualini, Samuele; Fioretti, Folco; Pierleoni, Paola; Mastrucci, L.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes a new e-government service for the citizens of Regione Marche: the web call center. Starting from the existing call center, the Regione Marche wants to provide additional services for the citizens and useful information about all the local government environments. The proposed service will allow to retrieve more information than those available by using the call center. Moreover, thanks to the usage of Internet technologies, it will be completely free. Practically, the service is an extension of the existing web site: a new web page allows a video communication with an operator that helps any citizen to retrieve information in a very easy way. This service is based on the Flash Media Server Architecture. Therefore, it implies only the flash media server license charge, it does not imply additional costs neither for the local government nor for the citizens because it is not necessary a new infrastructure building (such as VoIP telephones and central). Moreover it is not necessary for the citizens to install any additional software, in fact the access to the service is possible for non-skilled users too. Finally, the proposed system allows the Firewall and NAT-traversal by HTTP tunneling and it guarantees the streams encryption.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47448 Collegamento a IRIS

2009 An RFID based framework for race tyre companies customer satisfaction survey
SOLI 2009, IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics
Autore/i: ANDREOLI A.; FIORETTI F.; PASQUALINI S.; PIERLEONI P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: RFID technology is in great demand. Moreover, RFID devices are widely available and at low costs. So they can be used for a wide range of applications, such as supply chain, security, objects tracking, etc. In this paper we apply the RFID technology in conjunction with the well-known Internet protocols to realize an online customer satisfaction survey applied to kart racing. Especially wefocus on the tyre evaluation by kart team mechanics. The proposed application should be a valid aid to the tyre companies. Specially the work is focused on all those companies whose clients are kart teams. Since kart world has not the same fundings availability as Fl, we have to deploy a very cheap survey. For this purpose, RFID technology is a good choice, considering particularly passive RFID tags. Passive tags are embedded into the tyre during the vulcanization step. Then the tag can be read by a reader and the retrieved data are transferred to web and to a database server in order to collect more information about the tyre. Finally, the mechanics rate the analized tyre by filling a satisfaction form. Moreover all the rates can be analyzed by the tyre company in order to evaluate the quality of its products.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47435 Collegamento a IRIS

2008 A Fast Method for H.263 to H.264 Intra Smart Transcoder
Autore/i: ANDREOLI A; FIORETTI F; P. PIERLEONI; PASQUALINI S; TUMINI S
Classificazione: 5 Altro
Abstract: Atti Riunione annuale GTTI, Firenze, June 16-18, 2008
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47432 Collegamento a IRIS

2008 Adaptive Threshold For Intra Frame Prediction In H.263 To H.264 Smart-Transcoder
IACT 2008. 10th International Conference on Advanced Communication Technology
Autore/i: PASQUALINI S.; PIERLEONI P.; FIORETTI F.; ANDREOLI A.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47433 Collegamento a IRIS

2008 On use of xAP Home Automation Protocol for networking in critical environments
ICACT 2008. 10th International Conference on Advanced Communication Technology
Autore/i: FIORETTI F.; PIERLEONI P.; PASQUALINI S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47434 Collegamento a IRIS

2008 A New Objective Parameter for Video Quality Assessment
E-Activity and Leading Technologies 2008
Autore/i: ANDREOLI A; FIORETTI F; PASQUALINI S; P. PIERLEONI; TUMINI S
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47431 Collegamento a IRIS

2008 A New Objective Parameter foe Video Quality Assesment
E-Activity and Leading Technologies&Intertic
Autore/i: Andreoli A.; Fioretti F.; Pasqualini S.; Pierleoni P.; Tumini S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/65961 Collegamento a IRIS

2007 PROJECT OF EMBEDDED SYSTEM OPERATING WITH WIRELESS/WIRED INTERFACES FOR THE IMPLEMENTATION OF GSM/UMTS SENSOR NETWORK IN AERONAUTIC ENVIRONMENT
Autore/i: PIERLEONI P.; PASQUALINI S.; FIORETTI F.
Classificazione: 5 Altro
Abstract: EMC Europe Workshop 2007
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47819 Collegamento a IRIS

2006 AUDIO RENDERING SYSTEM FOR MULTIMEDIA APPLICATIONS
Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements
Autore/i: Pierleoni, P.; DI BIASE, T.; Cancellieri, G.; Fioretti, F.; Pasqualini, S.; Nicolini, F.
Editore: SPRINGER
Luogo di pubblicazione: BERLIN HEIDELBERG
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/41372 Collegamento a IRIS

2006 PROGETTO DI SISTEMI EMBEDDED OPERANTI CON INTERFACCE WIRELESS/WIRED PER LA REALIZZAZIONE DI RETI DI SENSORI GSM/UMTS IN AMBITO AERONAUTICO
Autore/i: PIERLEONI P.; PASQUALINI S.; BURINI C.
Classificazione: 5 Altro
Abstract: 101° Convegno Nazionale AEIT, Capri, Sept. 16-20, 2006
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47820 Collegamento a IRIS

2006 PROGETTO DI UN SISTEMA INTEGRATO VOIP/PSTN ED EROGAZIONE DI SERVIZI AD USO INTERNO E PER LA COMUNITÀ
101° CONVEGNO NAZIONALE AEIT
Autore/i: P. PIERLEONI; PASQUALINI S; WOSZ S; TUMINI S
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47380 Collegamento a IRIS

2006 RICOSTRUZIONE DINAMICA DI AMBIENTI 3D MULTIUTENZA PER E-LEARNING IMMESIVO SUL WEB
101° CONVEGNO NAZIONALE AEIT
Autore/i: P. PIERLEONI; PASQUALINI S; DI BIASE T; FIORETTI F
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47429 Collegamento a IRIS

2006 THE DYNAMIC CONSTRUCTION OF MULTI-USER VRML 3D ENVIRONMENT FOR IMMERSIVE LEARNING ON TH WEB
Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements
Autore/i: PIERLEONI P.; DI BIASE T.; CANCELLIERI G.; FIORETTI F.; PASQUALINI S.
Editore: SPRINGER
Luogo di pubblicazione: BERLIN HEIDELBERG
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/41429 Collegamento a IRIS

2006 Progetto di un Sistema Integrato VoIP/PSTN ed Erogazione di Servizi ad Uso Interno e par la Comunità
Autore/i: Pierleoni P.; Pasqualini S.; Wotsz S.; Tumini S.
Classificazione: 5 Altro
Abstract: 101° Convegno Nazionale AEIT, Capri, Sept. 16-20, 2006
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/65967 Collegamento a IRIS

2006 Ricostruzione Dinamica di Ambienti 3D Multiutenza per E-Learning Immersivo sul Web
Autore/i: Pierleoni P.; Pasqualini S.; Di Biase T.; Fioretti F.
Classificazione: 5 Altro
Abstract: 101° Convegno Nazionale AEIT, Capri, Sept. 16-20, 2006
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/65968 Collegamento a IRIS

2004 Proposal and Performance Evaluation of a Packet Over VDSL Protocol for Increasing Throughput in the Transmission of IP Packets
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Autore/i: CHIARALUCE F.; GAMBI E.; PIERLEONI P.; SPINSANTE S.
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a possible implementation of a Packet over very high bit rate digital subscriber line protocol with reduced impact of the overhead when transmitting Internet protocol packets. The proposal relates to some shared opinions about the inefficiency of the asynchronous transfer mode (ATM) layer when used to transport this kind of packets, and it is based on proper adaptation of previous recommendations and standards. It is numerically shown that a significant throughput increase is achieved when the new protocol is used in place of the current ATM adaptation layer type 5/ATM protocol.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/50064 Collegamento a IRIS

2003 Modified Twofish algorithm for increasing security and efficiency in the encryption of video signals
Proc. IEEE Int. Conf. on Image Processing
Autore/i: CATALINI G.; CHIARALUCE F.; CICCARELLI L.; GAMBI E.; P. PIERLEONI; REGINELLI M.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/52748 Collegamento a IRIS

2003 CHAOTIC ENCRYPTION FOR H.263+ VIDEO SIGNALS
INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER SCIENCE
Autore/i: CICCARELLI L.; P. PIERLEONI; REGINELLI . M; SPINSANTE S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47818 Collegamento a IRIS

2002 A new chaotic algorithm for video encryption
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Autore/i: CHIARALUCE F.; CICCARELLI L.; GAMBI E.; P. PIERLEONI; REGINELLI M.
Classificazione: 1 Contributo su Rivista
Abstract: We present a new encryption algorithm for the video signal that, employing suitably arranged chaotic functions, allows to increase the security level while maintaining acceptable processing times. We analyze the performance of the new scheme either though simulation or via practical implementation, thus demonstrating its efficiency, also in comparison with previous proposals.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/51332 Collegamento a IRIS

2002 Performance of DCSK in multipath environments: a comparison with systems using Gold sequences
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS, COMMUNICATIONS AND COMPUTER SCIENCES
Autore/i: F. CHIARALUCE; E. GAMBI; R. GARELLO; P. PIERLEONI
Classificazione: 1 Contributo su Rivista
Abstract: A performance comparison is developed between a chaotic communication system and a spread spectrum system with similar features in terms of bandwidth and transceiver structure but based on more conventional Gold sequences. Comparison is made in the presence of noise and multipath contributions which degrade the channel quality. It is shown that, because of its more favourable correlation properties, the chaotic scheme exhibits lower error rates, at a parity of the bandwidth expansion factor. The same favourable correlation properties are also used to explain and show, through a numerical example, the benefits of chaotic segments in a multi-user environment.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/51310 Collegamento a IRIS

2002 Performance of a sequence division multiple access scheme based on chaotic waveforms
Proc. IASTED International Conference on Communication Systems and Networks
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/52814 Collegamento a IRIS

2001 Using the correlation properties of chaotic waveforms to improve the bit error rate performance in frequency selective channels and multi-user applications
Proc. ISCTA ‘01
Autore/i: F. CHIARALUCE; E. GAMBI; R. GARELLO; D. GRILLI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48352 Collegamento a IRIS

2001 The UMTS turbo code performance at low bit error rates
ICC2001, Helsinki
Autore/i: R. GARELLO; G. CANCELLIERI; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/44362 Collegamento a IRIS

2001 On error floor and free distance of turbo codes
Proc. ICC 2001
Autore/i: R. GARELLO; F. CHIARALUCE; P. PIERLEONI; M. SCALONI; S. BENEDETTO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48348 Collegamento a IRIS

2001 COMPUTING THE FREE DISTANCE OF TURBO CODES AND SERIALLY CONCATENATED CODES WITH INTERLEAVERS: ALGORITHMS AND APPLICATIONS
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Autore/i: GARELLO R.; P. PIERLEONI; BENEDETTO S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/37589 Collegamento a IRIS

2000 Analysis of the generalized elliptical waveguide by separation of variables
30th European Microwave Conference, Parigi
Autore/i: ANGIUS P; PIERLEONI P; ROZZI T; L. ZAPPELLI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/47223 Collegamento a IRIS

2000 On the new CCSDS standard for space telemetry: turbo codes and symbol synchronization
Proc. ICC 2000
Autore/i: F. CHIARALUCE; E. GAMBI; R. GARELLO; P. PIERLEONI; G. P. CALZOLARI; E. VASSALLO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48304 Collegamento a IRIS

1999 Statistical considerations on electrical fast transient/burst immunity tests
Proc. EMC Zurich ‘99
Autore/i: F. CHIARALUCE; R. DE LEO; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48350 Collegamento a IRIS

1999 Modellizzazione di un registro a scorrimento completamente ottico
Atti FOTONICA ‘99
Autore/i: G. BUSCHI; F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48356 Collegamento a IRIS

1999 A systematic approach to the analysis of the effects of electrical fast transient/bursts
Proc. ICEAA 99
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48349 Collegamento a IRIS

1999 Studio delle interferenze mutue tra sistemi di TLC in un front-end integrato per applicazioni veicolari
Atti Giornate di Studio AEI sulla Compatibilità Elettromagnetica per la Sicurezza nei TrasportI
Autore/i: F. CHIARALUCE; E. GAMBI; L. NICCOLAI; P. PIERLEONI; E. PIETRACCI
Classificazione: 5 Altro
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/49705 Collegamento a IRIS

1999 Design of an all-optical wavelength router based on spatial solitons
JOURNAL OF LIGHTWAVE TECHNOLOGY
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents the theory and modeling of an all-optical device which realizes self-routing of waves at different wavelengths. The device exploits spatial soliton interaction in a Kerr-like nonlinear medium and can be used in wavelength division multiplexing (WDM) networks with fixed tuned receivers and tunable transmitters. Interaction is governed by four-wave mixing (FWM) that produces the desired effects under suitable excitation conditions. Several numerical examples are given, which highlight the importance of an optimum choice for the spectrum of wavelengths.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/50326 Collegamento a IRIS

1999 Interazione di solitoni spaziali a tre colori
Atti FOTONICA ‘99
Autore/i: A. BARTOLI; F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48354 Collegamento a IRIS

1999 Spatial soliton components for optical wavelength routing networks
ATTI DELLA FONDAZIONE GIORGIO RONCHI
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Editore: Fondazione Giorgio Ronchi:via S Felice A Ema 20, I 50125 Florence Italy:011 39 055 2320844, EMAIL: ronchi@infinto.it, INTERNET: http://ronchi.iei.pi.cnr.it, Fax: 011 39 055 2320844
Classificazione: 1 Contributo su Rivista
Abstract: The authors present a survey of interaction mechanisms among spatial solitons at different wavelengths. It is shown that such mechanisms offer fascinating perspectives for realizing all-optical switches and routers. The main interest for these components is in WDM networks, that represent one of the most practicable way to utilize the huge bandwidth offered by fiber optics. Numerical examples are given, as the result of efficient simulations, that provide useful guidelines for design of the proposed components.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/34884 Collegamento a IRIS

1998 Self routing all-optical switch for WDM applications
Applications of Photonic Technology 3
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48052 Collegamento a IRIS

1998 Field strength prediction in urban area: a ray-tracing algorithm
Proc. EMC ‘98 ROMA
Autore/i: F. CHIARALUCE; R. DE LEO; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48351 Collegamento a IRIS

1998 Instradatore ottico a divisione di lunghezza d’onda
Atti della XII Riunione Nazionale di Elettromagnetismo
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48355 Collegamento a IRIS

1998 Cyclic block codes decoding: an improved minimum-weight approach and its performance in comparison with more traditional techniques
Proc. Melecon ‘98
Autore/i: F. CHIARALUCE; E. GAMBI; M. MAZZONE; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48046 Collegamento a IRIS

1998 All-optical shift register based on accumulated photon echo
Proc. NOC ‘98
Autore/i: F. CHIARALUCE; E. GAMBI; P. PIERLEONI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48040 Collegamento a IRIS


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