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中风后手-腕康复机器人控制中自愿运动努力的皮质-肌肉整合表征

Corticomuscular integrated representation of voluntary motor effort in robotic control for wrist-hand rehabilitation after stroke.

作者信息

Guo Ziqi, Zhou Sa, Ji Kailai, Zhuang Yongqi, Song Jie, Nam Chingyi, Hu Xiaoling, Zheng Yongping

机构信息

Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China.

University Research Facility in Behavioral and Systems Neuroscience (UBSN), The Hong Kong Polytechnic University, Hong Kong, People's Republic of China.

出版信息

J Neural Eng. 2022 Mar 9;19(2). doi: 10.1088/1741-2552/ac5757.

Abstract

The central-to-peripheral voluntary motor effort (VME) in the affected limb is a dominant force for driving the functional neuroplasticity on motor restoration post-stroke. However, current rehabilitation robots isolated the central and peripheral involvements in the control design, resulting in limited rehabilitation effectiveness. This study was to design a corticomuscular coherence (CMC) and electromyography (EMG)-driven control to integrate the central and peripheral VMEs in neuromuscular systems in stroke survivors.The CMC-EMG-driven control was developed in a neuromuscular electrical stimulation (NMES)-robot system, i.e. CMC-EMG-driven NMES-robot system, to instruct and assist the wrist-hand extension and flexion in persons after stroke. A pilot single-group trial of 20 training sessions was conducted with the developed system to assess the feasibility for wrist-hand practice on the chronic strokes (16 subjects). The rehabilitation effectiveness was evaluated through clinical assessments, CMC, and EMG activation levels.The trigger success rate and laterality index of CMC were significantly increased in wrist-hand extension across training sessions (< 0.05). After the training, significant improvements in the target wrist-hand joints and suppressed compensation from the proximal shoulder-elbow joints were observed through the clinical scores and EMG activation levels (< 0.05). The central-to-peripheral VME distribution across upper extremity (UE) muscles was also significantly improved, as revealed by the CMC values (< 0.05).Precise wrist-hand rehabilitation was achieved by the developed system, presenting suppressed cortical and muscular compensation from the contralesional hemisphere and the proximal UE, and improved distribution of the central-and-peripheral VME on UE muscles. ClinicalTrials.gov Register Number NCT02117089.

摘要

患侧肢体从中心到外周的自主运动努力(VME)是中风后驱动运动恢复功能神经可塑性的主要力量。然而,当前的康复机器人在控制设计中孤立了中枢和外周的参与,导致康复效果有限。本研究旨在设计一种皮质肌电相干(CMC)和肌电图(EMG)驱动的控制方法,以整合中风幸存者神经肌肉系统中的中枢和外周VME。CMC-EMG驱动的控制方法是在神经肌肉电刺激(NMES)-机器人系统中开发的,即CMC-EMG驱动的NMES-机器人系统,用于指导和辅助中风患者进行腕手伸展和屈曲运动。使用该开发系统进行了一项为期20次训练的单组试验,以评估慢性中风患者(16名受试者)进行腕手训练的可行性。通过临床评估、CMC和EMG激活水平评估康复效果。在训练过程中,腕手伸展时CMC的触发成功率和偏侧性指数显著提高(<0.05)。训练后,通过临床评分和EMG激活水平观察到目标腕手关节有显著改善,近端肩肘关节的代偿受到抑制(<0.05)。如CMC值所示,上肢(UE)肌肉从中心到外周的VME分布也有显著改善(<0.05)。所开发的系统实现了精确的腕手康复,表现为对侧半球和近端UE的皮质和肌肉代偿受到抑制,以及UE肌肉上中枢和外周VME的分布得到改善。ClinicalTrials.gov注册号:NCT02117089。

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