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用于预测手臂伸展运动中肌肉力量及其与运动变化关系的三维模型。

Three-dimensional model to predict muscle forces and their relation to motor variances in reaching arm movements.

作者信息

Tibold Robert, Fazekas Gabor, Laczko Jozsef

机构信息

Faculty of Information Technology, Pazmany Peter Catholic University, Budapest, Hungary.

出版信息

J Appl Biomech. 2011 Nov;27(4):362-74. doi: 10.1123/jab.27.4.362. Epub 2011 Aug 26.

Abstract

A three-dimensional (3-D) arm movement model is presented to simulate kinematic properties and muscle forces in reaching arm movements. Healthy subjects performed reaching movements repetitively either with or without a load in the hand. Joint coordinates were measured. Muscle moment arms, 3-D angular acceleration, and moment of inertias of arm segments were calculated to determine 3-D joint torques. Variances of hand position, arm configuration, and muscle activities were calculated. Ratios of movement variances observed in the two conditions (load versus without load) showed no differences for hand position and arm configuration variances. Virtual muscle force variances for all muscles except deltoid posterior and EMG variances for four muscles increased significantly by moving with the load. The greatly increased variances in muscle activity did not imply equally high increments in kinematic variances. We conclude that enhanced muscle cooperation through synergies helps to stabilize movement at the kinematic level when a load is added.

摘要

提出了一种三维(3-D)手臂运动模型,以模拟手臂伸展运动中的运动学特性和肌肉力量。健康受试者在手部有负载或无负载的情况下重复进行伸展运动。测量关节坐标。计算肌肉力臂、三维角加速度和手臂各节段的转动惯量,以确定三维关节扭矩。计算手部位置、手臂构型和肌肉活动的方差。在两种条件下(有负载与无负载)观察到的运动方差比在手部位置和手臂构型方差方面没有差异。除三角肌后部外,所有肌肉的虚拟肌肉力方差以及四块肌肉的肌电图方差在有负载运动时显著增加。肌肉活动方差的大幅增加并不意味着运动学方差有同样高的增加。我们得出结论,当增加负载时,通过协同作用增强肌肉协作有助于在运动学水平上稳定运动。

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