Validity of wearable sensors for total knee arthroplasty (TKA) rehabilitation: A study in younger and older healthy participants

IF 1.6 4区医学 Q3 ORTHOPEDICS

Knee Pub Date : 2024-10-24 DOI:10.1016/j.knee.2024.10.006

L. Forsyth , A. Ligeti , M. Blyth , J.V. Clarke , P.E. Riches

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引用次数: 0

Abstract

Background

With 100,000 total knee arthroplasty (TKA) procedures taking place in the United Kingdom annually, the demand on rehabilitation services is high. Most regimes are home-based. Without clinician-patient interaction, detection of rehabilitation concerns can be delayed, reducing the chance of successful early intervention. Wearable technologies, such as MotionSense^TM (Stryker, US), may offer a solution to this problem by remotely supporting post-operative TKA rehabilitation through the provision of personalised rehabilitation and tracking of home exercises, enabling healthcare professionals to continuously monitor rehabilitation progress remotely. Validation of such devices against a known kinematic model in activities of daily living is important for confident interpretation of resulting clinical data. The aim of this study therefore was to validate the accuracy of MotionSense^TM against a clinical motion capture standard.

Methods

Twenty younger and 14 older healthy, able-bodied adults attended one testing session (Younger: 24 ± 4 years old; Older: 71 ± 5 years old). Movement was tracked using Vicon motion analysis and a Plug-In-Gait lower body model was applied to all participants. Three activities were performed – walking, stair ascent, stair descent. The knee flexion angle root mean square error (RMSE) between the technologies was determined.

Results

For both groups the knee flexion RMSE remained below 3° for all activities. The combined RMSE for all adults was 2.4° for walking, 2.7° for stair ascent, and 2.6° for stair descent. The signed error increased during the swing phase of gait.

Conclusion

MotionSense^TM was found to accurately estimate knee flexion angles during several common activities compared to Vicon motion capture.

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用于全膝关节置换术（TKA）康复的可穿戴传感器的有效性：一项针对年轻和年长健康参与者的研究。

背景：英国每年有 10 万例全膝关节置换术 (TKA) 手术，因此对康复服务的需求很高。大多数康复治疗都是在家中进行的。如果没有临床医生与患者之间的互动，康复问题就可能被延迟发现，从而降低早期干预的成功机会。MotionSenseTM（史赛克，美国）等可穿戴技术可为这一问题提供解决方案，通过提供个性化康复服务和跟踪家庭锻炼，远程支持TKA术后康复，使医护人员能够持续远程监控康复进展。根据日常生活活动中的已知运动学模型对此类设备进行验证，对于自信地解释由此产生的临床数据非常重要。因此，本研究旨在根据临床运动捕捉标准验证 MotionSenseTM 的准确性：方法：20 名年轻人和 14 名老年人参加了一次测试（年轻人：24 ± 4 岁；老年人：71 ± 5 岁）。使用 Vicon 运动分析对运动进行跟踪，并对所有参与者应用 Plug-In-Gait 下半身模型。进行了三种活动--行走、上楼梯和下楼梯。结果显示，两组参与者的膝关节屈曲角度均方根误差（RMSE）均为0：结果：两组人在所有活动中的膝关节屈曲均方根误差都低于 3°。所有成年人的综合均方根误差分别为：步行 2.4°、上楼梯 2.7°、下楼梯 2.6°。步态摆动阶段的签名误差有所增加：结论：与 Vicon 运动捕捉相比，MotionSenseTM 能够准确估计几种常见活动中的膝关节屈曲角度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Knee 医学-外科

CiteScore

3.80

自引率

5.30%

发文量

171

审稿时长

6 months

期刊介绍： The Knee is an international journal publishing studies on the clinical treatment and fundamental biomechanical characteristics of this joint. The aim of the journal is to provide a vehicle relevant to surgeons, biomedical engineers, imaging specialists, materials scientists, rehabilitation personnel and all those with an interest in the knee. The topics covered include, but are not limited to: • Anatomy, physiology, morphology and biochemistry; • Biomechanical studies; • Advances in the development of prosthetic, orthotic and augmentation devices; • Imaging and diagnostic techniques; • Pathology; • Trauma; • Surgery; • Rehabilitation.