上肢肌肉疲劳检测与分析

Qiuhao Zhang, Youlin Yao, Baiqing Sun, Dianchun Bai, Junyou Yang
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引用次数: 0

摘要

利用flexforce传感器搭建肌肉膨胀力测量平台,检测肌力,分析肌肉在一定频率下产生颤振的疲劳曲线和频率范围。将BP神经网络理论应用于手臂疲劳训练中,以Flexiforce传感器采集的肌力信息作为输入,以期望分类模式作为输出,通过训练样本库中的数据来训练BP神经网络的参数。用matlab软件对训练过程进行仿真。实现对肌肉运动状态的评估和预测,找到最优的肌力学曲线进行康复训练,使患者达到最佳训练状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fatigue Detection and Analysis of Upper Limb Muscles
The Flexiforce sensor was used to build the muscle expansion force measuring platform to detect the myodynamia, and to analyze the muscle's fatigue curve and the frequency range with a certain frequency of chatter generated by the muscle. BP neural network theory is applied to fatigue training of arm training, the myodynamia information collected by Flexiforce sensor is taken as input, the expected classification mode is taken as output, and the parameters of BP neural network are trained by training the data in sample library. The matlab software The process of training simulation. Achieve the evaluation and prediction of the state of muscle movement, to find an optimal myodynamia curve for rehabilitation training, so that patients achieve the best training status.
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