Machine-Learning-Aided Self-Powered Assistive Physical Therapy Devices

An expanding elderly population and people with disabilities pose considerable challenges to the current healthcare system. As a practical technology that integrates systems and services, assistive physical therapy devices are essential to maintain or to improve an individual’s functioning and indep...

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Bibliographic Details
Published in:ACS nano 2021-12, Vol.15 (12), p.18633-18646
Main Authors: Xiao, Xiao, Fang, Yunsheng, Xu, Jing, Chen, Jun
Format: Article
Language:English
Subjects:
Aged
Algorithms
Delivery of Health Care
Humans
Machine Learning
Physical Therapy Modalities
Self-Help Devices
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Summary:An expanding elderly population and people with disabilities pose considerable challenges to the current healthcare system. As a practical technology that integrates systems and services, assistive physical therapy devices are essential to maintain or to improve an individual’s functioning and independence, thus promoting their well-being. Given technological advancements, core components of self-powered sensors and optimized machine-learning algorithms will play innovative roles in providing assistive services for unmet global needs. In this Perspective, we provide an overview of the latest developments in machine-learning-aided assistive physical therapy devices based on emerging self-powered sensing systems and a discussion of the challenges and opportunities in this field.
ISSN:1936-0851
1936-086X
DOI:10.1021/acsnano.1c10676