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一种基于静态位置肌电图与三维外力之间关系预测个体肩部肌肉力量的模型。

A model predicting individual shoulder muscle forces based on relationship between electromyographic and 3D external forces in static position.

作者信息

Laursen B, Jensen B R, Németh G, Sjøgaard G

机构信息

Department of Physiology, National Institute of Occupational Health, Copenhagen, Denmark.

出版信息

J Biomech. 1998 Aug;31(8):731-9. doi: 10.1016/s0021-9290(98)00091-8.

Abstract

To study the potentiality for developing an EMG-based model for the human shoulder, mapping of relations between static hand forces and electromyographic (EMG) activity of 13 shoulder muscles, were performed. The procedure was to perform by the hands slowly varying isometric forces up to 20% maximum voluntary force in the three-dimensional space. By combining these data with literature values on muscle physiological cross-sectional area and moment arm data, an EMG-based model was developed for estimating muscle forces in the glenohumeral joint. The model was validated for one standardized position by comparing joint moment, calculated from EMG by using the model, with moments from the external force. The highest correlation between these moments was found assuming a linear EMG/force calibration at low force level (< 20% MVC), giving correlations from 0.65 to 0.95 for the abduction/adduction moment and from 0.70 to 0.93 for the flexion/extension moment, for the six subjects. Moments calculated from EMG were for most subjects somewhat lower than the moments from the external force; the mean residual error ranged from 1.6 to 9.9 Nm. Taking this into account, the results can be used for assessment of muscle forces based on recordings of external forces at the hands during submaximal static work tasks without substantially elevated arms.

摘要

为研究开发基于肌电图的人体肩部模型的潜力,对13块肩部肌肉的静态手部力量与肌电图(EMG)活动之间的关系进行了映射。具体做法是,双手在三维空间中缓慢施加等长力,最大可达最大自主力量的20%。通过将这些数据与肌肉生理横截面积的文献值和力臂数据相结合,开发了一种基于肌电图的模型,用于估计盂肱关节中的肌肉力量。通过将使用该模型从肌电图计算出的关节力矩与外力产生的力矩进行比较,对该模型在一个标准化位置进行了验证。对于六名受试者,在低力量水平(<20%最大自主收缩,MVC)假设线性肌电图/力量校准的情况下,发现这些力矩之间的相关性最高,外展/内收力矩的相关性为0.65至0.95,屈伸力矩的相关性为0.70至0.93。对于大多数受试者,从肌电图计算出的力矩略低于外力产生的力矩;平均残余误差范围为1.6至9.9牛米。考虑到这一点,这些结果可用于在手臂未大幅抬高的次最大静态工作任务期间,根据手部外力记录评估肌肉力量。

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