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Powering future body sensor network systems: A review of power sources

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journal contribution
posted on 2020-09-10, 12:44 authored by Y Wang, H Wang, Jin Xuan, DYC Leung
© 2020 Elsevier B.V. Body sensor network is a promising medical technology to address the overwhelming global aging, which requires advanced micro power sources with high energy density, long lifetime and good biocompatibility. Potential candidates include batteries, fuel cells, energy harvesters and supercapacitors, each of which have their own merits and demerits. Batteries are currently the most mature product which has been extensively employed in the body sensor network, but the improvement of their energy density is relatively sluggish due to the cumbersome material storage. On the contrary, micro fuel cells can achieve much higher energy density because of their lightweight fuel and oxidant, which can be refueled instantly when applied in wearable sensors. For implanted devices, both abiotic and biotic fuel cells can utilize the dissolved glucose in the body fluid as fuel. As for energy harvesters, they can receive energy from both the external environment such as solar and radiofrequency, and the human body itself such as body heat and motion. Finally, supercapacitor is an effective energy storage component especially for energy harvesters, which can achieve excellent cycle stability. In general, the selection of micro power sources should consider the specific requirement from the specific sensor node, so that a body sensor network with hybrid power supply is much more reliable than that with single type of energy supply. With the continuous development of different power technologies, the body sensor network is expected to be more lightweight, unobtrusive and reliable, leading to a low-cost and ubiquitous healthcare in the near future.

Funding

CRCG grant of the University of Hong Kong (201711160009)

SZSTI of Shenzhen Municipal Government (JCYJ20170818141758464)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Published in

Biosensors and Bioelectronics

Volume

166

Pages

112410

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Biosensors and Bioelectronics and the definitive published version is available at https://doi.org/10.1016/j.bios.2020.112410

Acceptance date

2020-06-23

Publication date

2020-07-15

Copyright date

2020

ISSN

0956-5663

eISSN

1873-4235

Language

  • en

Depositor

Prof Jin Xuan Deposit date: 9 September 2020

Article number

112410

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