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首页> 外文期刊>Journal of NeuroEngineering Rehabilitation >EMG and kinematic analysis of sensorimotor control for patients after stroke using cyclic voluntary movement with visual feedback
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EMG and kinematic analysis of sensorimotor control for patients after stroke using cyclic voluntary movement with visual feedback

机译:使用视觉反馈的循环自愿运动对中风后患者的肌电图和感觉运动控制的运动学分析

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Background Clinical scales are often used to evaluate upper-limb deficits. The objective of this study is to investigate the parameters during voluntary arm tracking at different velocities for evaluating motor control performance after stroke. Methods Eight hemiplegic chronic stroke subjects were recruited to perform voluntary movements of elbow flexion and extension by following sinusoidal trajectories from 30 deg to 90 deg at six velocities in the horizontal plane by completing 3, 6, 8, 12, 15, 18 flexion and extension cycles in 36 seconds in a single trial, and the peak velocities ranged from 15.7 to 94.2 deg/s. The actual elbow angle and the target position were displayed as real-time visual feedback. The angular displacement of the arm and electromyographic (EMG) signals of biceps and triceps were captured to evaluate the sensorimotor control of the affected and unaffected side. Results The results showed significant differences in the root mean square error (RMSE), response delay (RD) and cocontraction index (CI) when the affected and unaffected sides were compared during the arm tracking experiment (P<0.05). RMSE decreased with the increase in the tracking velocities for the affected and unaffected sides. And CI and RD increased with the increase in the tracking velocities for both sides. There was significant correlation between average RMSE of the six velocities and Fugl-Meyer shoulder-elbow score for the eight poststroke subjects. Conclusions The method and parameters have potential for clinical use in quantitatively evaluating the sensorimotor deficiencies for patients after stroke about the accuracy of motion, response delay and cocontraction between muscle pairs.
机译:背景技术临床量表通常用于评估上肢赤字。这项研究的目的是调查在不同速度的自动手臂跟踪过程中的参数,以评估中风后的运动控制性能。方法招募八名偏瘫慢性卒中受试者,通过在水平面以六个速度从30度至90度的正弦轨迹完成3、6、8、12、15、18屈曲和伸展运动,自愿进行肘关节屈伸运动一次试验可在36秒内完成循环,峰值速度范围为15.7至94.2度/秒。实际的肘部角度和目标位置显示为实时视觉反馈。捕获手臂的角位移以及二头肌和三头肌的肌电图(EMG)信号,以评估患侧和未患侧的感觉运动控制。结果在手臂跟踪实验中比较患侧和未患侧时,均方根误差(RMSE),反应延迟(RD)和共收缩指数(CI)均存在显着差异(P <0.05)。随着受影响和未受影响侧面的跟踪速度的增加,RMSE下降。并且CI和RD随双方跟踪速度的增加而增加。在八名卒中后受试者的六个速度的平均RMSE与Fugl-Meyer肩肘得分之间存在显着相关性。结论该方法和参数具有潜在的临床价值,可用于定量评估卒中后患者运动准确性,反应延迟和肌肉对之间的共收缩的感觉运动缺陷。

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