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首页> 外文期刊>International Journal Bioautomation >An Approach for Experimental Investigation of Muscle Activities of the Upper Limbs (Right versus Left Arm) of Healthy Subjects and Post-stroke Patients - A Preliminary Study
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An Approach for Experimental Investigation of Muscle Activities of the Upper Limbs (Right versus Left Arm) of Healthy Subjects and Post-stroke Patients - A Preliminary Study

机译：健康受试者和中风后患者上肢肌肉活动（右臂与左臂）的实验研究方法-初步研究

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The experimental estimation of muscle activities in post-stroke patients with limb motor deficit is often based on surface electromyography signals (EMGs). Besides EMGs processing and interpretation difficulties, the differences in motor control of dominant and non-dominant arm have to be taken into account since the stroke can injure either left or right limb. Different motor tasks (under static conditions - different postures, and dynamic ones, i.e. elbow flexions/extensions in the sagittal and in the horizontal planes) were performed consecutively with the dominant and the non-dominant arm of two healthy volunteers and with the non-affected and the affected arm of two stroke patients. Surface EMGs of seven muscles were recorded using a Noraxon telemetric system. Two custom-made programs written in MATLAB were developed, separately for processing the data from static and dynamic motor tasks. At first the EMG signals were filtered, rectified and smoothed. For static tasks power-frequency analysis was performed, calculating different parameters (mean and median frequency, area under power function, mean values of the smoothed signals, which would be used as coefficients for normalization, etc.). For dynamic tasks one trial of flexion/extension motions was chosen for visual expectation through the saved video records. An analysis of synergistic and antagonistic muscle activities was performed.
机译：中风后肢体运动障碍患者的肌肉活动的实验估计通常基于表面肌电图信号（EMG）。除了肌电图的处理和解释困难之外，还必须考虑到优势臂和非优势臂在运动控制方面的差异，因为中风会伤害左肢或右肢。用两名健康志愿者的优势和非优势手臂连续进行不同的运动任务（在静态条件下-不同的姿势和动态的运动任务，即在矢状面和水平平面中的肘部弯曲/伸展）。受累和患手臂的两名中风患者。使用Noraxon遥测系统记录了七块肌肉的表面肌电图。开发了两个用MATLAB编写的定制程序，分别用于处理静态和动态电机任务的数据。首先，EMG信号经过滤波，整流和平滑处理。对于静态任务，执​​行了工频分析，计算了不同的参数（均值和中位数频率，幂函数下的面积，平滑信号的平均值，这些值可用作归一化的系数等）。对于动态任务，选择了一次屈曲/伸展运动试验，以通过保存的视频记录获得视觉期望。进行了协同和拮抗肌肉活动的分析。

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