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An EMG-driven musculoskeletal model for estimation of human joint moments during isometric time-varying loads

机译:一种EMG驱动的肌肉骨骼模型,用于估计人类关节时刻在等距时变载荷

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The purpose of this work was to develop a robust EMG-driven elbow model to estimate muscle forces and joint torques of different people performing different time-varying loads at the elbow. The model consisted of an anatomical model, anEMG-to-activation model, a Hill4ype muscle model, and a nonlinear optimizer. All of the major muscles about the elbow were taken into account. The parameters used by the muscle model were optimal fiber length, maximum contraction velocity, pennationangle, tendon slack length, and maximum muscle force. EMG and joint angle were input variables. Moment arm and muscle length varied as a function of joint angle, as defined in the anatomical model. The model was used to examine the importance ofaccounting for muscle velocity during rapid loads applied at fixed joint angles.
机译:这项工作的目的是开发一个强大的EMG驱动的弯头模型,以估计不同人的肌肉力和关节扭矩,在肘部处执行不同的时变载荷。该模型由解剖模型,Anemg-to-激活模型,山丘肌肉模型和非线性优化器组成。关于肘部的所有主要肌肉都被考虑在内。肌肉模型使用的参数是最佳的纤维长度,最大收缩速度,宾夕法尼亚州,肌腱松弛长度和最大肌肉力。 EMG和关节角度是输入变量。时刻臂和肌肉长度随着接头角度而变化,如解剖模型中所定义。该模型用于检查在固定关节角度施加的快速载荷期间肌肉速度下占肌肉速度的重要性。

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