期刊
APL BIOENGINEERING
卷 6, 期 2, 页码 -出版社
AIP Publishing
DOI: 10.1063/5.0086935
关键词
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资金
- Department of Biomedical Engineering at the University of Arizona
- Flinn Foundation Translational Bioscience Seed Grant Pilot Program
- National Science Foundation
This review discusses the design considerations and recent advances in wearable devices for continuous recording of high-fidelity biosignals, as well as the development of embedded artificial intelligence in this device class. It is of significant importance for next-generation autonomous diagnostic, therapeutic, and assistive health tools.
The ability for wearable devices to collect high-fidelity biosignals continuously over weeks and months at a time has become an increasingly sought-after characteristic to provide advanced diagnostic and therapeutic capabilities. Wearable devices for this purpose face a multitude of challenges such as formfactors with long-term user acceptance and power supplies that enable continuous operation without requiring extensive user interaction. This review summarizes design considerations associated with these attributes and summarizes recent advances toward continuous operation with high-fidelity biosignal recording abilities. The review also provides insight into systematic barriers for these device archetypes and outlines most promising technological approaches to expand capabilities. We conclude with a summary of current developments of hardware and approaches for embedded artificial intelligence in this wearable device class, which is pivotal for next generation autonomous diagnostic, therapeutic, and assistive health tools. (c) 2022 Author(s). All
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