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

Max Munoz Torrico; Robert Foster; Yang Hao

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.

Keywords: physiological features wireless sensors low power radio propagation on-body communications bio-mechanical markers

Published: 2013-04-04

: http://dx.doi.org/10.1007/978-3-642-37893-5_38