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基于 IMU 的脊柱角度自动估计和 IMU 位置识别在远程康复中的应用。

Automated, IMU-based spine angle estimation and IMU location identification for telerehabilitation.

机构信息

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China.

Tensor Health Inc, Shanghai, 200090, China.

出版信息

J Neuroeng Rehabil. 2024 Jun 6;21(1):96. doi: 10.1186/s12984-024-01366-1.

DOI:10.1186/s12984-024-01366-1
PMID:38845000
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11639592/
Abstract

BACKGROUND

Telerehabilitation is a promising avenue for improving patient outcomes and expanding accessibility. However, there is currently no spine-related assessment for telerehabilitation that covers multiple exercises.

METHODS

We propose a wearable system with two inertial measurement units (IMUs) to identify IMU locations and estimate spine angles for ten commonly prescribed spinal degeneration rehabilitation exercises (supine chin tuck head lift rotation, dead bug unilateral isometric hold, pilates saw, catcow full spine, wall angel, quadruped neck flexion/extension, adductor open book, side plank hip dip, bird dog hip spinal flexion, and windmill single leg). Twelve healthy subjects performed these spine-related exercises, and wearable IMU data were collected for spine angle estimation and IMU location identification.

RESULTS

Results demonstrated average mean absolute spinal angle estimation errors of 2.59 and average classification accuracy of 92.97%. The proposed system effectively identified IMU locations and assessed spine-related rehabilitation exercises while demonstrating robustness to individual differences and exercise variations.

CONCLUSION

This inexpensive, convenient, and user-friendly approach to spine degeneration rehabilitation could potentially be implemented at home or provide remote assessment, offering a promising avenue to enhance patient outcomes and improve accessibility for spine-related rehabilitation.

TRIAL REGISTRATION

No. E2021013P in Shanghai Jiao Tong University.

摘要

背景

远程康复是改善患者预后和扩大可及性的一种很有前途的途径。然而,目前还没有专门针对远程康复的涵盖多种运动的脊柱相关评估方法。

方法

我们提出了一种带有两个惯性测量单元(IMU)的可穿戴系统,用于识别 IMU 位置并估计十种常见的脊柱退化康复运动(仰卧位下巴收紧头部抬起旋转、死虫单侧等长保持、普拉提锯式、猫牛式全脊柱、墙壁天使式、四足式颈部屈伸、内收肌开书式、侧平板式臀部下降、狗式髋关节脊柱屈曲和风车式单腿)的脊柱角度。十二名健康受试者进行了这些脊柱相关运动,采集了可穿戴式 IMU 数据以进行脊柱角度估计和 IMU 位置识别。

结果

结果表明,平均脊柱角度估计误差为 2.59,平均分类准确率为 92.97%。该系统有效地识别了 IMU 位置,并评估了脊柱相关的康复运动,同时表现出对个体差异和运动变化的鲁棒性。

结论

这种廉价、方便、用户友好的脊柱退化康复方法可以在家中实施,或提供远程评估,为改善脊柱相关康复的患者预后和可及性提供了一种很有前途的途径。

试验注册

上海交通大学 E2021013P 号。

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