Many people in the world are living with chronic diseases, demanding continuous monitoring, diagnosis, and treatment. Continuous physiological monitoring is key to providing preventive healthcare and accurate disease diagnosis, which leads to a growing demand for autonomous wearable technology. Wearable devices acquiring physiological information from the patient demand high-power efficiency to operate in a continuous acquisition mode. While power-saving techniques are applied in wearable devices for many application, very few are considered for biomedical applications. In this work, we explore existing techniques of power reduction for wearable medical devices. Our analysis addresses the power reduction of wearable medical devices and their generalization for different medical signal processing applications. In addition, we propose a taxonomy for power-saving techniques. The common categories of power-saving techniques are task scheduling, clock management, signal compression, and energy awareness. The presented analysis identifies the most appropriate and combined low-power techniques in wearable devices to reduce power consumption.
Originele taal-2English
TitelPower Saving Techniques for Wearable Devices in Medical Applications
Aantal pagina's8
ISBN van elektronische versie978-1-6654-8025-3
ISBN van geprinte versie978-1-6654-8026-0
StatusPublished - 9 dec 2022
Evenement48th Annual Conference of the Industrial Electronics Society - Brussels, Belgium
Duur: 18 okt 202220 okt 2022

Publicatie series

NaamIECON Proceedings (Industrial Electronics Conference)


Conference48th Annual Conference of the Industrial Electronics Society
Verkorte titelIECON 2022
Internet adres

Bibliografische nota

Publisher Copyright:
© 2022 IEEE.

Copyright 2022 Elsevier B.V., All rights reserved.


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