Rehabilitation of Total Knee Arthroplasty by Integrating Conjoint Isometric Myodynamia and Real‐Time Rotation Sensing System
Author(s) -
Luo Jianzhe,
Li Yusheng,
He Miao,
Wang Ziming,
Li Chengyu,
Liu Di,
An Jie,
Xie Wenqing,
He Yuqiong,
Xiao Wenfeng,
Li Zhou,
Wang Zhong Lin,
Tang Wei
Publication year - 2022
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202105219
Subject(s) - rehabilitation , isometric exercise , brace , medicine , physical medicine and rehabilitation , arthroplasty , osteoarthritis , wearable computer , physical therapy , computer science , engineering , surgery , mechanical engineering , embedded system , alternative medicine , pathology
As the world population structure has already exhibited an inevitable trend of aging, technical advances that can provide better eldercare are highly desired. Knee osteoarthritis, one of the most common age‐associated diseases, can be effectively treated via total knee arthroplasty (TKA). However, patients are suffering from the recovery process due to inconvenience in post‐hospital treatment. Here, a portable, modular, and wearable brace for self‐assessment of TKA patients’ rehabilitation is reported. This system mainly consists of a force transducer for isometric muscle strength measurement and an active angle sensor for knee bending detection. Clinical experiments on TKA patients demonstrate the feasibility and significance of the system. Specifically, via brace‐based personalized healthcare, the TKA patients’ rehabilitation process is quantified in terms of myodynamia, and a definite rehabilitation enhancement is obtained. Additionally, new indicators, that is, isometric muscle test score, for evaluating TKA rehabilitation are proposed. It is anticipated that, as the cloud database is employed and more rehabilitation data are collected in the near future, the brace system can not only facilitate rehabilitations of TKA patients, but also improve life quality for geriatric patients and open a new space for remote artificial intelligence medical engineering.
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