Feng Yuguo, Liu Yu, Fang Yuan, Chang Jin, Deng Fei, Liu Jin, Xiong Yan
College of Art and Design, Xihua University, Chengdu, 610039, China.
Chongqing Brace Technology Co., Ltd., Chongqing, 401120, China.
Arthroplasty. 2023 Oct 2;5(1):49. doi: 10.1186/s42836-023-00204-4.
Wearable sensors have become a complementary means for evaluation of body function and gait in lower limb osteoarthritis. This study aimed to review the applications of wearable sensors for gait analysis after total knee arthroplasty (TKA).
Five databases, including Web of Science Core Collection, Embase, Cochrane, Medline, and PubMed, were searched for articles published between January 2010 and March 2023, using predetermined search terms that focused on wearable sensors, TKA, and gait analysis as broad areas of interest.
A total of 25 articles were identified, involving 823 TKA patients. Methodologies varied widely across the articles, with inconsistencies found in reported patient characteristics, sensor data and experimental protocols. Patient-reported outcome measures (PROMs) and gait variables showed various recovery times from 1 week postoperatively to 5 years postoperatively. Gait analysis using wearable sensors and PROMs showed differences in controlled environments, daily life, and when comparing different surgeries.
Wearable sensors offered the potential to remotely monitor the gait function post-TKA in both controlled environments and patients' daily life, and covered more aspects than PROMs. More cohort longitudinal studies are warranted to further confirm the benefits of this remote technology in clinical practice.
可穿戴传感器已成为评估下肢骨关节炎患者身体功能和步态的一种辅助手段。本研究旨在综述可穿戴传感器在全膝关节置换术（TKA）后步态分析中的应用。
检索了五个数据库，包括科学网核心合集、Embase、考克兰图书馆、医学期刊数据库和PubMed，以查找2010年1月至2023年3月期间发表的文章，使用预先确定的检索词，重点关注可穿戴传感器、TKA和步态分析等广泛感兴趣的领域。
共确定了25篇文章，涉及823例TKA患者。各文章的方法差异很大，在报告的患者特征、传感器数据和实验方案方面存在不一致之处。患者报告的结局指标（PROMs）和步态变量显示，从术后1周到术后5年有不同的恢复时间。使用可穿戴传感器和PROMs进行的步态分析在受控环境、日常生活以及比较不同手术时显示出差异。
可穿戴传感器有可能在受控环境和患者日常生活中远程监测TKA后的步态功能，并且比PROMs涵盖更多方面。需要更多的队列纵向研究来进一步证实这种远程技术在临床实践中的益处。
