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    BODYNETS

    2nd International ICST Conference on Body Area Networks

    A system based on Body Area Network for detecting the onset of faint fall using motion sensors is presented. It is a portion of the project for elderly fall safety in which abnormal ECG and blood pressure vital signs are used to predict the imminent faint and fall onset is subsequently detected in …

    A system based on Body Area Network for detecting the onset of faint fall using motion sensors is presented. It is a portion of the project for elderly fall safety in which abnormal ECG and blood pressure vital signs are used to predict the imminent faint and fall onset is subsequently detected in activating the feedback systems. A statement of hypothesis, proof and experimental results are thoroughly discussed and presented.

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    Editor(s): Romano Fantacci (University of Florence, Italy)
    Publisher
    ICST
    ISBN
    978-963-06-2193-9
    ISSN
    2310-3582
    Conference dates
    11th–13th Jun 2007
    Location
    Florence, Italy
    Appeared in EUDL
    2007-06-10

    Copyright © 2007–2025 ICST

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    • Self management of chronic disease using mobile devices and Bluetooth monitors

      Research Article in 2nd International ICST Conference on Body Area Networks

      A. Marshall, Oleg Medvedev, G. Markarian
    • Self-organising object networks using context zones for distributed activity recognition

      Research Article in 2nd International ICST Conference on Body Area Networks

      Venet Osmani, Sasitharan Balasubramaniam, Dmitri Botvich
    • SpotCore: a power-efficient embedded processor for intelligent sensor networks

      Research Article in 2nd International ICST Conference on Body Area Networks

      Mbou Eyole-Monono, Robert Harle, Andrew Rose
    • The personal sensor network: a user-centric monitoring solution

      Research Article in 2nd International ICST Conference on Body Area Networks

      G. Giorgetti, G. Manes, J.H. Lewis, S.T. Mastroianni, S.K.S. Gupta
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