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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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Munoz Torrico, M., Foster, R., Hao, Y. (2013). Identifying Physiological Features from the Radio Propagation Signal of Low-Power Wireless Sensors. In: Godara, B., Nikita, K.S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37893-5_38
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DOI: https://doi.org/10.1007/978-3-642-37893-5_38
Publisher Name: Springer, Berlin, Heidelberg
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