A Method for Real-Time Estimation of Local Muscular Fatigue in Exercise Using Redundant Discrete Wavelet Coefficients
A Method for Real-Time Estimation of Local Muscular Fatigue in Exercise Using Redundant Discrete Wavelet Coefficients
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一种利用冗余离散小波系数实时估计运动中局部肌肉疲劳的方法
DOI：
10.1109/icsai.2016.7811064
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
永井秀利
中科院分区：
文献类型：
--
作者：
Baolin Liu;Xianyao Meng;Guangning Wu;Jianwu Dang;永井秀利
在本文中，我们提出了一种方法来估计肌肉疲劳的运动负荷波动。肌肉疲劳是评估肌肉状态时的重要属性。然而，这是非常困难的，适用于一般的方法，这取决于在运动过程中的表面肌电信号的信号功率或频率特性的相对变化。我们定义了肌肉和神经活动的两个定性因素，并通过复合这些因素，我们定义了一个疲劳系数来估计肌肉疲劳。这些值可以实时计算。疲劳系数量化肌肉疲劳的影响，并且不受负荷量的变化的影响。因此，它可以用来估计肌肉疲劳，即使是非重复性的动作和未知的负载量。
In this paper, we propose a method to estimate muscular fatigue in exercises with load fluctuations. Muscular fatigue is an important property when evaluating the state of a muscle. However, it is extremely difficult to apply general methods, which depend on the relative changes in the signal power or frequency characteristics of a surface EMG, during exercise. We define two qualitative factors of muscular and neural activity, and by compounding these factors, we define a fatigue coefficient to estimate muscular fatigue. These values can be calculated in real-time. The fatigue coefficient quantifies the influence of the muscular fatigue and is not affected by changes in the load amount. Therefore, it can be used to estimate muscular fatigue, even for non-repetitive actions and unknown load amounts.