2nd International ICST Conference on Body Area Networks

Research Article

A novel system for elderly fall safety using body area network

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  • @INPROCEEDINGS{10.4108/bodynets.2007.157,
        author={M. N. Nyan and Francis E. H. Tay and D. G. Guo and L. Xu and K. L. Yap},
        title={A novel system for elderly fall safety using body area network},
        proceedings={2nd International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2007},
        month={6},
        keywords={Body Area Network elderly fall.},
        doi={10.4108/bodynets.2007.157}
    }
    
  • M. N. Nyan
    Francis E. H. Tay
    D. G. Guo
    L. Xu
    K. L. Yap
    Year: 2007
    A novel system for elderly fall safety using body area network
    BODYNETS
    ICST
    DOI: 10.4108/bodynets.2007.157
M. N. Nyan1,*, Francis E. H. Tay1,2,*, D. G. Guo1,*, L. Xu1,*, K. L. Yap1,*
  • 1: National University of Singapore, Department of Mechanical Engineering
  • 2: Institute of Bioengineering and Nanotechnology, Medical Devices Group
*Contact email: mpenmn@nus.edu.sg, mpetayeh@nus.edu.sg, mpegdg@nus.edu.sg, mpexl@nus.edu.sg, mpeykl@nus.edu.sg

Abstract

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.