一种考虑肌疲劳因素的肌力预测模型修正方法  

Modification of Muscle Force Prediction Model Based on Muscle Fatigue Analysis

作　　者：黄耐寒 杨喜东[1] 陈香[1] 

机构地区：[1]中国科学技术大学电子科学与技术系,安徽合肥230027

出　　处：《航天医学与医学工程》2014年第3期176-182,共7页Space Medicine & Medical Engineering

基　　金：国家自然科学基金面上项目(61271138)

摘　　要：目的为提高采用表面肌电信号(sEMG)进行肌力预测的通用性,探索肌疲劳过程中肌力预测模型的修正方法。方法分别对肌肉非疲劳状态和疲劳状态下的肌力预测问题进行研究。首先采用曲线拟合建立非疲劳状态下的肌力预测模型,然后开展恒力和线性上升力两种发力方式的疲劳实验,分析肌疲劳对肌力预测的影响,并在此基础上针对线性上升力疲劳过程,建立肌力预测模型系数与肌疲劳程度的函数关系,最后利用疲劳程度对肌力预测模型进行动态修正。结果测试结果显示,当疲劳程度逐渐加深时修正后的预测误差基本保持稳定。结论本方法可有效用于线性上升力疲劳过程的肌力预测。Objective To improve the versatility of muscle force prediction model under fatigue state was explored force prediction, a modification method for muscle Methods Experiments were conducted under both non-fatigue state and fatigue state. The mathematical model of muscle force prediction was established firstly using polynomial curve fitting with a least-square calculation. Then experiments of muscle fatigue during constant and ramp force contractions were carried out to analyze the effect of fatigue on muscle force prediction. Finally, the relationship between muscle force prediction model coefficients and fatigue level was built and used to modify the model of muscle force prediction under fatigue. Results The experiment results showed that the predicting errors of the modified model kept stable while muscle fatigue was increasing. Conclusion The proposed method is effective and feasible to predict the muscle force under muscle fatigue during ramp force contraction.

关 键 词：肌力预测 肌疲劳 表面肌电信号 曲线拟合 模型修正 

分 类 号：R337.5[医药卫生—人体生理学]