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
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.
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