International Workshop on “Advances in Wireless Physical Layer Communications for Emerging Healthcare Applications”

Research Article

Identifying Physiological Features from the Radio Propagation Signal of Low-Power Wireless Sensors

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  • @INPROCEEDINGS{10.1007/978-3-642-37893-5_38,
        author={Max Munoz Torrico and Robert Foster and Yang Hao},
        title={Identifying Physiological Features from the Radio Propagation Signal of Low-Power Wireless Sensors},
        proceedings={International Workshop on “Advances in Wireless Physical Layer Communications for Emerging Healthcare Applications”},
        proceedings_a={IWAWPLC},
        year={2013},
        month={4},
        keywords={physiological features wireless sensors low power radio propagation on-body communications bio-mechanical markers},
        doi={10.1007/978-3-642-37893-5_38}
    }
    
  • Max Munoz Torrico
    Robert Foster
    Yang Hao
    Year: 2013
    Identifying Physiological Features from the Radio Propagation Signal of Low-Power Wireless Sensors
    IWAWPLC
    Springer
    DOI: 10.1007/978-3-642-37893-5_38
Max Munoz Torrico1,*, Robert Foster1,*, Yang Hao1,*
  • 1: University of London
*Contact email: max.munoz@eecs.qmul.ac.uk, robert.foster@eecs.qmul.ac.uk, yang.hao@eecs.qmul.ac.uk

Abstract

The radio propagation signal between a pair of low-power wireless sensor nodes is analysed with the aim to identify and retrieve embedded physiological features. The latter is post-processed using popular time-frequency analyses, such as such as the Fast Fourier transform (FFT). The results show initial evidence that the electromagnetic wave propagation contains bio-mechanical markers, such as gait pattern and thoracic displacements.