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    An hybrid platform for remote health monitoring: From concept to deployment

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    An_hybrid_platform_for_remote_health_monitoring_From_concept_to_deployment.pdf (392.7Kb)
    Date
    2015-07
    Author
    Heurtefeux, Karel
    Mohsin, Nasreen
    Menouar, Hamid
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    Abstract
    This paper presents experimental results from a platform consisting of multiple wearable body area networks (BAN) connected to a wireless mesh network. The proposed platform collects, processes and wirelessly transmits medical data from multiple wearable BAN to a medical control center (MCC) through a solar-powered and multi-hop mesh network. This proof-of-concept platform encompasses several innovations. In the BAN, a dynamic TDMA MAC layer has been implemented over a 802.15.4 physical layer as well as 2 lightweight protocols. To reduce the number of packet sent by sensors and the size of packet sent by the gateway, a similarity-based filter and a polynomial interpolation technique respectively are used. In the solar-powered mesh network, a machine learning algorithm has been implemented to predict battery depletion and ensure continuity of service.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84960920113&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/NTMS.2015.7266472
    http://hdl.handle.net/10576/62069
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    • QMIC Research [‎278‎ items ]

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