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脑卒中后使用膝关节外骨骼进行适应性辅助和抗阻训练。

Adapted Assistance and Resistance Training With a Knee Exoskeleton After Stroke.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2023;31:3265-3274. doi: 10.1109/TNSRE.2023.3303777. Epub 2023 Aug 18.

Abstract

Studies on robotic interventions for gait rehabilitation after stroke require: (i) rigorous performance evidence; (ii) systematic procedures to tune the control parameters; and (iii) combination of control modes. In this study, we investigated how stroke individuals responded to training for two weeks with a knee exoskeleton (ABLE-KS) using both Assistance and Resistance training modes together with auditory feedback to train peak knee flexion angle. During the training, the torque provided by the ABLE-KS and the biofeedback were systematically adapted based on the subject's performance and perceived exertion level. We carried out a comprehensive experimental analysis that evaluated a wide range of biomechanical metrics, together with usability and users' perception metrics. We found significant improvements in peak knee flexion ( p = 0.0016 ), minimum knee angle during stance ( p = 0.0053 ), paretic single support time ( p = 0.0087 ) and gait endurance ( p = 0.022 ) when walking without the exoskeleton after the two weeks of training. Participants significantly ( ) improved the knee angle during the stance and swing phases when walking with the exoskeleton powered in the high Assistance mode in comparison to the No Exo and the Unpowered conditions. No clinically relevant differences were found between Assistance and Resistance training sessions. Participants improved their performance with the exoskeleton (24-55 %) for the peak knee flexion angle throughout the training sessions. Moreover, participants showed a high level of acceptability of the ABLE-KS (QUEST 2.0 score: 4.5 ± 0.3 out of 5). Our preliminary findings suggest that the proposed training approach can produce similar or larger improvements in post-stroke individuals than other studies with knee exoskeletons that used higher training intensities.

摘要

针对脑卒中后步态康复的机器人干预研究需要

(i)严格的性能证据;(ii)系统的参数调整程序;和(iii)控制模式的组合。在这项研究中,我们研究了脑卒中患者在两周内使用膝关节外骨骼(ABLE-KS)进行训练时的反应,同时使用辅助和抵抗训练模式,并结合听觉反馈来训练峰值膝关节屈曲角度。在训练过程中,根据受试者的表现和感知用力水平,系统地调整 ABLE-KS 提供的扭矩和生物反馈。我们进行了全面的实验分析,评估了广泛的生物力学指标,以及可用性和用户感知指标。我们发现,在两周的训练后,在没有外骨骼的情况下行走时,峰值膝关节屈曲(p = 0.0016)、站立时最小膝关节角度(p = 0.0053)、患侧单支撑时间(p = 0.0087)和步态耐力(p = 0.022)都有显著提高。与无外骨骼和无动力条件相比,参与者在高辅助模式下使用外骨骼行走时,在站立和摆动阶段显著()改善了膝关节角度。在辅助和抵抗训练中没有发现临床相关的差异。参与者在整个训练过程中都提高了外骨骼的性能(24-55%),以达到峰值膝关节屈曲角度。此外,参与者对外骨骼的接受度很高(QUEST 2.0 评分:5 分制中得分为 4.5 ± 0.3)。我们的初步研究结果表明,与使用更高训练强度的膝关节外骨骼的其他研究相比,所提出的训练方法可以在脑卒中患者中产生类似或更大的改善。

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