基于肌音信号的静动态肌肉收缩疲劳特征研究

发布时间：2018-05-31 14:28

本文选题：肌音信号 + 静态收缩　；参考：《华东理工大学》2017年硕士论文

【摘要】：肌肉疲劳是由运动引起的肌肉最大随意收缩力减小的现象,其研究可应用于生理医学的职业病预防或体育工程的运动员训练等方面。之前已有众多研究者利用肌电信号对肌肉疲劳进行研究。作为一种新的研究肌肉收缩与肌肉疲劳的信号分析工具,肌音信号具有独特的优点,近年来逐渐受到更多关注。本课题针对日常生活中较为普遍的肌肉疲劳现象用肌音信号进行研究,根据前人的研究方法设计了桡侧腕屈肌的静态收缩疲劳试验和肌肉动态收缩疲劳试验。在静、动态肌肉收缩条件下对肌音信号进行频域特征分析,运用离散小波分解重构和小波包分解重构的方法对肌音信号的频带信息变化进行探究。对肌肉疲劳过程中的肌音信号进行时频域特征分析,运用短时傅里叶变换,并提取上述两个特征参数,定量计算特征值的变化幅度。本文经过静、动态肌肉收缩疲劳试验和特征研究,表明肌音信号是分析肌肉活动、评价肌肉疲劳的有效工具。从研究结果看来,对于这两种肌肉收缩方式,平均功率频率(MPF)和中值频率(MDF)都是评估疲劳有效参数,体现了一定的规律性。研究的方法和结论对于将来运用肌音信号对肌肉疲劳程度量化研究具有促进作用。
[Abstract]:Muscle fatigue is the phenomenon that the maximum involuntary contractile force of muscles is reduced by motion, and its research can be applied to occupational disease prevention in physiological medicine or athletes training in sports engineering. Many researchers have studied muscle fatigue using EMG signals. The signal analysis tool, the muscle sound signal has the unique advantages, has received more and more attention in recent years. This topic studies the muscle tone signal of the common muscle fatigue in daily life. According to the previous research methods, the static contraction fatigue test and the muscle dynamic contraction fatigue test of the flexor carpal flexor muscle of the radial side are designed. In the dynamic muscle contraction, the frequency domain characteristics of the muscle sound signal are analyzed. The method of discrete wavelet decomposition reconstruction and wavelet packet decomposition and reconstruction is used to explore the change of the frequency band information of the muscle sound signal. The time and frequency characteristics of the muscle tone signal in the muscle fatigue process are analyzed, and the short time Fourier transform is used to extract the two special features. In this paper, the static, dynamic muscle contraction fatigue test and characteristic study show that the muscle tone signal is an effective tool for analyzing muscle activity and evaluating muscle fatigue. From the results of the study, the average power frequency (MPF) and the median frequency (MDF) of these two types of muscle contraction are all evaluated fatigue. The effective parameters reflect certain regularity. The research methods and conclusions will promote the quantitative study of muscle fatigue by using muscle tone signals in the future.
【学位授予单位】：华东理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R741.044;TN911.6

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