Elbow joint torque-angle-IEMG relation at constant muscle activities in voluntary contraction

T. Uchiyama, T. Bessho, Masaki Yoshida, K. Akazawa
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Abstract

The static relationship between elbow joint angle and torque at constant IEMGs was investigated with the aid of an artificial neural network technique. A normal volunteer was allowed to move his upper extremity freely on a horizontal plane, and was instructed to maintain his forearm posture at a target position against an external load applied to his wrist. Firstly, seven channel IEMGs, joint angles and torques around elbow and shoulder were measured. Secondly, the neural network model was constructed; inputs were IEMGs and joint angles, outputs were torques. Finally, elbow torque was estimated at various elbow angles with constant IEMGs by using the model. The torque of extensor muscles monotonically increased as flexion of the elbow joint. This characteristic was similar to that of monkey's triceps brachii. However the torque of flexor muscles increased and then decreased as extension of the elbow joint. This characteristic does not agree with the fundamental property of the equilibrium point hypothesis.
随意收缩时恒定肌肉活动下肘关节扭矩-角度- iemg关系
利用人工神经网络技术研究了恒定电动势下肘关节角与扭矩的静态关系。一个正常的志愿者被允许在水平面上自由移动他的上肢,并被指示保持他的前臂姿势在目标位置,以抵抗施加在他手腕上的外部负荷。首先,测量了7通道眼动图、肘部和肩部关节角和扭矩;其次,建立了神经网络模型;输入为动肌和关节角,输出为转矩。最后,利用该模型估算了恒定IEMGs下不同弯头角度下的弯头转矩。随着肘关节的屈曲,伸肌的扭矩单调增加。这一特征与猴子的肱三头肌相似。屈肌的扭矩随肘关节的伸展先增大后减小。这一特征与平衡点假说的基本性质不一致。
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