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Research Associate Department
of Computer Science Emails: gv6f@cs.virginia.edu,
gilles_virone@yahoo.fr |
Medical Electronics, Sensor Networks and Fusion, Human Behavior Modeling.
RESEARCH ACTIVITIES
Smart Homes/Information Systems for Healthcare: investigating their architecture, components and communications; proposing new designs, functionalities and models for such systems. I am currently involved in AlarmNet, a large-scale distributed system for home healthcare targeting Assisted Living.
Web: AlarmNet: Wireless Sensor Networks for Assisted-Living And Residential MonitoringMedical Electronics: designing, developing, integrating smart sensors suitable for aging and technology research.
Networking: Previous research on the Controller Area Network (CAN), a serial fieldbus originally developed for automotive. Current investigations in Wireless Sensor Network (WSN) based on the IEEE 802.15.4 standard (ZigBee compliant) for AlarmNet. My interests also include adding some context-aware protocols in these networks using feedback from back-end SW programs for longitudinal studies. For instance, I interfaced SAMCAD (cf. below) to the AlarmNet WSN to reduce the power consumption of the motes for motion tracking.
Human Behavior Modeling: During the daily cycle of life, most people exhibit some lifestyle patterns, specially within the home. One can refer as “Circadian Activity Rhythms” (CARs) to describe this behavioral activity in the healthcare context. They are influenced by social and biological rhythms, and are measurable by observing persons’ repetitive physical activity during everyday life upon 24-hour periods (circadian cycles). I have been enjoying developing a pattern mining application (called SAMCAD) integrating the CAR model since 2000. The software provide the opportunity to explore CAR patterns and their deviations in real-time or non real-time representing changes in life habits. The goal is to identify anomalies which could be related with health decline.
PUBLICATIONS (list)
- 9 international journals with reading committee.
- 3 research books with reading committee.
- 17 international colloquia and congresses with proceedings and reading committee.
- 2 colloquia and congresses with proceedings and reading committee.
- 2 conferences with proceedings.SELECTED PUBLICATIONS RELATED TO INFORMATION SYSTEMS FOR HEALTHCARE
Publications related to AlarmNet (Dept. of Computer Science, UVA, 2005-2007)
A. Wood, G. Virone, T. Doan, Q. Cao, L. Selavo, Y. Wu, L. Fang, Z. He, S. Lin, and J. Stankovic, “AlarmNet: Wireless Sensor Networks for Assisted-Living And Residential Monitoring,” technical report CS-2006-11, Department of Computer Science, University of Virginia, 2006
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Abstract: We describe ALARMNET, a wireless sensor network for assisted-living and residential monitoring. It integrates environmental and physiological sensors in a scalable, heterogeneous architecture. A query protocol allows real-time collection and processing of sensor data by user interfaces and back-end analysis programs. One such program determines circadian activity rhythms of residents, feeding activity information back into the sensor network to aid context-aware power management, dynamic privacy policies, and data association. Communication is secured end-to-end to protect sensitive medical and operational information. The ALARMNET system has been implemented as a network of MICAz sensors, stargate gateways, iPAQ PDAs, and PCs. Customized infrared motion and dust sensors, and integrated temperature, light, pulse, and blood oxygenation sensors are present. Software components include: TinyOS query processor and security modules for motes; AlarmGate, an embedded Java application for managing power, privacy, security, queries, and client connections; Java resident monitoring and sensor data querying applications for PDAs and PCs; and a circadian activity rhythm analysis program. We show the correctness, robustness, and extensibility of the system architecture through a scenario-based evaluation of the integrated ALARM-NET system, as well as performance data for individual software components.
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G. Virone, A. Wood, L. Selavo, Q. Cao, L. Fang, T. Doan, Z. He, R. Stoleru, S. Lin, and J.A. Stankovic, “An Assisted Living Oriented Information System Based on a Residential Wireless Sensor Network,” Proceedings of the 1st Distributed Diagnosis and Home Healthcare (D2H2) Conference, Arlington, Virginia, USA, pp. 95-100, April 2-4, 2006
Abstract: This paper deals with a new medical information system called AlarmNet designed for smart healthcare. Based on an advanced Wireless Sensor Network (WSN), it specifically targets assisted-living residents and others who may benefit from continuous and remote health monitoring. We present the advantages, objectives, and status of the system built at the Department of Computer Science at UVA. Early results of the prototype suggest a strong potential for WSNs to open new research perspectives for ad hoc deployment of multi-modal sensors and improved quality of medical care.
Publications related to the Health Integrated Smart Home Information System (HIS2) (lab. TIMC 2000-2003)
G. Virone, N. Noury, J.P. Thomesse, V. Rialle and J. Demongeot, “A Home Health Information System based on the CAN fieldbus,” in Proc. FET'2003 “5th IFAC International Conference on Fieldbus Systems and their Applications,” Aveiro, Portugal, pp. 23-28, July 2003
Abstract: A Health Integrated Smart Home Information System (HIS²) has been developed for the remote monitoring of the health status of the elderly at home. This system aims at improving their safety and quality of life, and can also detect health decline. The design of this system is based on a CAN network linked to smart sensors with a single phone pair wire and an RF wireless communication. An application processes, in real time, the incoming data to display the health status. This article describes the system architecture and communication on the CAN Network. Copyright © 2003 IFAC
2001-2003
Undergraduate classes, at IUT1, Département Geii1, «Génie Électrique et Informatique Industrielle», Grenoble 1, Université Joseph Fourier.
- Industrial Computer Science (45.5 hours of practical courses).
- Electronics (38.5 hours of practical courses).
- Microprocessors (48 hours of full course: lecture, exercices and practice).
- Supervision of undergraduate interships in electronics.
- Supervision of engineers in internships in the area of smart sensors and networking (Controler Area Network).
For any comments, please feel
free to send me an email.
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Last modified: 07/05/2007 - All content and images © G.Virone
