Hu Huimin, Luo Yi, Min Ling, Li Lei, Wang Xing
Department of Biomedical Engineering, Chongqing University, Chongqing 400044, China.
Department of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China.
Sensors (Basel). 2025 Aug 25;25(17):5277. doi: 10.3390/s25175277.
(1) Background: Integrating assessment with training helps to enhance precision prosthetic rehabilitation of trans-radial amputees. This study aimed to validate a self-developed closed-loop rehabilitation platform combining accurate measurement in comprehensive assessment and immediate interaction in virtual reality (VR) training in refining patient-centered myoelectric prosthesis rehabilitation. (2) Methods: The platform consisted of two modules, a multimodal assessment module and an sEMG-driven VR game training module. The former included clinical scales (OPUS, DASH), task performance metrics (modified Box and Block Test), kinematics analysis (inertial sensors), and surface electromyography (sEMG) recording, verified on six trans-radial amputees and four healthy subjects. The latter aimed for muscle coordination training driven by four-channel sEMG, tested on three amputees. Post 1-week training, task performance and sEMG metrics (wrist flexion/extension activation) were re-evaluated. (3) Results: The sEMG in the residual limb of the amputees upgraded by 4.8%, either the subjects' number of gold coins or game scores after 1-week training. Subjects uniformly agreed or strongly agreed with all the items on the user questionnaire. In reassessment after training, the average completion time (CT) of all three amputees in both tasks decreased. CTs of the A1 and A3 in the placing tasks were reduced by 49.52% and 50.61%, respectively, and the CTs for the submitting task were reduced by 19.67% and 55.44%, respectively. Average CT of all three amputees in the ADL task after training was 9.97 s, significantly lower than the pre-training time of 15.17 s. (4) Conclusions: The closed-loop platform promotes patients' prosthesis motor-control tasks through accurate measurement and immediate interaction according to the sensorimotor recalibration principle, demonstrating a potential tool for precision rehabilitation.
(1) 背景：将评估与训练相结合有助于提高经桡骨截肢者的精准假肢康复效果。本研究旨在验证一个自主研发的闭环康复平台，该平台在以患者为中心的肌电假肢康复中，结合了综合评估中的精确测量和虚拟现实（VR）训练中的即时交互。(2) 方法：该平台由两个模块组成，一个多模态评估模块和一个肌电信号驱动的VR游戏训练模块。前者包括临床量表（OPUS、DASH）、任务表现指标（改良箱块测试）、运动学分析（惯性传感器）和表面肌电图（sEMG）记录，并在6名经桡骨截肢者和4名健康受试者身上进行了验证。后者旨在进行由四通道肌电信号驱动的肌肉协调训练，并在3名截肢者身上进行了测试。在为期1周的训练后，对任务表现和肌电信号指标（腕部屈伸激活）进行了重新评估。(3) 结果：截肢者残肢的肌电信号提升了4.8%，1周训练后受试者的金币数量或游戏得分均有所提高。受试者对用户问卷中的所有项目均表示同意或强烈同意。在训练后的重新评估中，所有3名截肢者在两项任务中的平均完成时间（CT）均有所下降。在放置任务中，A1和A3的CT分别减少了49.52%和50.61%，在提交任务中的CT分别减少了19.67%和55.44%。训练后所有3名截肢者在日常生活活动（ADL）任务中的平均CT为9.97秒，显著低于训练前的15.17秒。(4) 结论：该闭环平台根据感觉运动再校准原理，通过精确测量和即时交互促进患者的假肢运动控制任务，证明了其作为精准康复潜在工具的作用。
