Wearable Devices in Healthcare: Technological Advancements, Clinical Applications, and Future Horizons
Research Article
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Wearable Devices in Healthcare: Technological Advancements, Clinical Applications, and Future Horizons

Siyuan Wang 1*
1 Glasgow College, University of Electronic Science and Technology of China, Chengdu, China
*Corresponding author: 2021190501003@std.uestc.edu.cn
Published on 30 May 2025
Volume Cover
ACE Vol.169
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-80590-209-6
ISBN (Online): 978-1-80590-210-2
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Abstract

This article provides a comprehensive review of the development of wearable devices in the field of healthcare. Key technologies such as sensor technology (e.g. electrochemistry, optics, etc.), micro-electro-mechanical systems (MEMS), flexible electronics, and material innovation are described in detail, power and energy management strategies, signal processing and data analysis methods are discussed. The clinical applications of wearable devices in diabetes management, cardiovascular disease monitoring and sleep monitoring are discussed, and their effectiveness and challenges are assessed. In addition, existing technical, clinical, and market challenges are analyzed, and future trends such as multimodal sensor fusion, intelligence, miniaturization, and integration with emerging technologies are predicted. Overall, this paper presents the current status of wearable devices in the field of healthcare in an all-round way, and provides ideas for subsequent research and development.

Keywords:

wearable devices, healthcare, sensor technology, MEMS, flexible electronics, energy management, clinical applications, future trends

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Wang,S. (2025). Wearable Devices in Healthcare: Technological Advancements, Clinical Applications, and Future Horizons. Applied and Computational Engineering,169,11-24.

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Cite this article

Wang,S. (2025). Wearable Devices in Healthcare: Technological Advancements, Clinical Applications, and Future Horizons. Applied and Computational Engineering,169,11-24.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume title: Proceedings of CONF-MSS 2025 Symposium: Machine Vision System

ISBN: 978-1-80590-209-6(Print) / 978-1-80590-210-2(Online)
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