| Literature DB >> 34913696 |
Xiao Xiao1, Yunsheng Fang1, Xiao Xiao1, Jing Xu1, Jun Chen1.
Abstract
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.Entities:
Mesh:
Year: 2021 PMID: 34913696 DOI: 10.1021/acsnano.1c10676
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881