Abstract
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.
Original language | English |
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Title of host publication | Power Saving Techniques for Wearable Devices in Medical Applications |
Publisher | IEEE |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Electronic) | 978-1-6654-8025-3 |
ISBN (Print) | 978-1-6654-8026-0 |
DOIs | |
Publication status | Published - 9 Dec 2022 |
Event | 48th Annual Conference of the IEEE Industrial Electronics Society - Brussels, Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022 Conference number: 48 https://iecon2022.org/ |
Publication series
Name | IECON Proceedings (Industrial Electronics Conference) |
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Volume | 2022-October |
Conference
Conference | 48th Annual Conference of the IEEE Industrial Electronics Society |
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Abbreviated title | IECON 2022 |
Country/Territory | Belgium |
City | Brussels |
Period | 17/10/22 → 20/10/22 |
Internet address |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.
Keywords
- Power Optimization
- Power Saving Techniques, Continuous Monitoring, Medical applications, Wearable medical devices.Power Optimization, Power Saving Techniques
- Medical applications
- Continuous Monitoring
- Wearable medical devices