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Analysis of muscle synergy for evaluation of task-specific performance in stroke patients

机译:脑卒中患者任务特异性表现评价肌肉协同作用分析

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Muscle synergy represents a central neural module that organizes and activates a group of muscles when performing a certain task. However, whether muscle synergy is a good physiological indicator of motor ability in task performance for patients suffering stroke is not clear. The purpose of this study is to understand how information of task-specific muscle synergy in healthy subjects and patients post stroke can be used to evaluate their motor ability, and further to assist motor rehabilitation for stroke patients. Electromyography (EMG) signals and movement kinematics in reaching tasks were recorded in 5 healthy subjects and 4 stroke patients. Muscle synergies were extracted from EMGs and compared cross healthy and stroke subjects. Normal synergies displayed a characteristic pattern common in healthy subjects. But pathological synergies in stroke subjects lacked the characteristics of normal synergy without a common component, implicating varying extent of damage to the motor module due to lesion in cerebral circuits. Further analysis in stroke subjects showed that pathological patterns of synergy in stroke subjects corresponded to the abnormality in their movement control compared with healthy subjects. Data showed that task-specific muscle synergy did reveal a positive correlation to the ability of neural control of tasks. It was further observed that task-specific synergy was changed towards the normal pattern after intervention with functional electrical stimulation in patients post stroke.
机译:肌肉协同作用代表一个中央神经模块,在执行某项任务时组织和激活一组肌肉。然而,肌肉协同作用是患有患者中风的患者任务表现的良好生理指标是否尚不清楚。本研究的目的是了解如何使用健康受试者和患者的任务特异性肌肉协同作用的信息,以评估其电机能力,进一步帮助卒中患者的电机康复。在5个健康的受试者和4脑卒中患者中记录了肌电学(EMG)信号和运动运动学达到任务。从EMGs中提取肌肉协同,并比较交叉健康和中风受试者。正常协同效应显示了健康受试者的特征模式。但行程受试者的病理学协同作用缺乏没有共同组成的正常协同作用的特性,由于脑电路中的病变导致对电动机模块的损坏的变化程度。中风对象的进一步分析表明,与健康受试者相比,卒中对象中的协同作用的病理模式对应于运动控制中的异常。数据显示,任务特定的肌肉协同作用确实揭示了与任务的神经控制能力的正相关。进一步观察到,任务特定的协同作用在患者后卒中患者的功能电刺激后朝着正常模式改变。

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