sEMG feature analysis on forearm muscle fatigue during isometric contractions
sEMG feature analysis on forearm muscle fatigue during isometric contractions
复制标题
等长收缩时前臂肌肉疲劳的表面肌电特征分析
DOI：
10.1007/s12209-014-2181-2
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发表时间：
2014
影响因子：
7.1
通讯作者：
B. Wan
中科院分区：
文献类型：
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作者：
Dong Ming;Xin Wang;Rui Xu;Shuang Qiu;Xin Zhao;Hongzhi Qi;Peng Zhou;Lixin Zhang;B. Wan
为了利用肌表电特征参数检测和评估肌肉疲劳状态，本文对4名受试者进行了一系列诱导前臂肌肉疲劳的等距收缩实验，并记录尺侧腕屈肌的肌表电信号。采用短时傅里叶变换（STFT）提取表面肌电信号的中位数频率（MDF）和平均频率（MF），采用连续小波变换（CWT）得到5 ~ 45hz频段内小波系数的均方根（RMS）。结果表明：MDF和MF在1 min内均呈下降趋势；然而，均方根值在同一时间内呈现上升趋势。3个参数的平均相关系数绝对值均大于0.8，且相关性密切。以上3个参数可作为评价等长收缩时肌肉疲劳程度的可靠指标。
In order to detect and assess the muscle fatigue state with the surface electromyography (sEMG) characteristic parameters, this paper carried out a series of isometric contraction experiments to induce the fatigue on the forearm muscles from four subjects, and recorded the sEMG signals of the flexor carpi ulnaris. sEMG’s median frequency (MDF) and mean frequency (MF) were extracted by short term Fourier transform (STFT), and the root mean square (RMS) of wavelet coefficients in the frequency band of 5–45 Hz was obtained by continuous wavelet transform (CWT). The results demonstrate that both MDF and MF show downward trends within 1 min; however, RMS shows an upward trend within the same time. The three parameters are closely correlated with absolute values of mean correlation coefficients greater than 0.8. It is suggested that the three parameters above can be used as reliable indicators to evaluate the level of muscle fatigue during isometric contractions.