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SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise

机译:机制信号的SVR建模预测瘫痪的Quadriceps肌肉中的神经肌肉刺激诱发的膝盖扭矩进行膝关节延长运动

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摘要

Background and objective: Using traditional regression modelling, we have previously demonstrated a positive and strong relationship between paralyzed knee extensors' mechanomyographic (MMG) signals and neuromuscular electrical stimulation (NMES)-assisted knee torque in persons with spinal cord injuries. In the present study, a method of estimating NMES-evoked knee torque from the knee extensors' MMG signals using support vector regression (SVR) modelling is introduced and performed in eight persons with chronic and motor complete spinal lesions.
机译:背景和目的:使用传统的回归建模,我们之前已经证明了瘫痪的膝盖延伸的机制(MMG)信号和神经肌肉电刺激(NMES)的脊髓损伤人员之间的积极和强大的关系。 在本研究中,引入了使用支持向量回归(SVR)建模的膝关节延伸的MMG信号估计NMES诱发的膝盖扭矩(SVR)建模的方法,并在八人中进行慢性和电动机完全脊柱病变。

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