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SAW based passively bioimpedance sensing for zero-power wearable applications of biosensors

Yue, Alex; Kiely, Janice; McLeod, Chris; Wraith, Patrick

Authors

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Alex Yue Alex.Yue@uwe.ac.uk
Senior Lecturer in Bioinstrumentation and Sensor Interfacing

Janice Kiely Janice.Kiely@uwe.ac.uk
Professor in Bio-electronics/Res In CoDi

Chris McLeod

Patrick Wraith



Abstract

A novel passive bio-sensing method, which electrically connects a conventional biosensor to a surface acoustic wave (SAW) device, is proposed for passively sensing bio-impedance for zero-power wearable applications. The biosensor attached to the SAW as the load of the tag (the SAW acting as the loadable reflector), makes the measuring of the biosensor fully passive without power supplied to sensor side, being suitable for power restricted applications. Simulations showed that the paramagnetic particle enhanced biosensor has a better measurement accuracy than that of an ordinary biosensor. The feasibility of this new biosensor has been demonstrated by the preliminary experiment of using a 50ns pulse train containing RF signal to excite the new device, which is implemented by a 3.5 mm diameter coil-shaped electrode of a biosensor connected to a 433MHz single port SAW resonator, and then to collect and analyze the reflected signal. This passive solution of getting bio-impedance information using a SAW connected conventional biosensor, enables massive production of the impedance loaded SAW biosensors.

Citation

Yue, A., Kiely, J., McLeod, C., & Wraith, P. (in press). SAW based passively bioimpedance sensing for zero-power wearable applications of biosensors. In 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)

Conference Name 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS 2019)
Conference Location Nara, Japan
Start Date Oct 17, 2019
End Date Oct 19, 2019
Acceptance Date Aug 10, 2019
Online Publication Date Dec 5, 2019
Deposit Date May 7, 2021
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Book Title 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
ISBN 9781509006182
Public URL https://uwe-repository.worktribe.com/output/3478698