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基于低頻電刺激誘發(fā)表面肌電信號的肌肉疲勞度研究

Muscular fatigue study based on sEMG evoked by low frequency electrical stimulation

作者: 王穎  靳靜娜  李穎  綦宏志  劉志朋  殷濤 
單位:                      中國醫(yī)學(xué)科學(xué)院北京協(xié)和醫(yī)學(xué)院生物醫(yī)學(xué)工程研究所(天津300192)        
關(guān)鍵詞:                     表面肌電信號;肌疲勞;電刺激;近似熵;功率譜          
分類號:
出版年·卷·期(頁碼):2013·32·3(230-236)
摘要:

目的 通過對肌肉疲勞過程中非誘發(fā)表面肌電 (surface electromyography,sEMG) 信號和誘發(fā)表面肌電信號的研究分析,尋找有效評價肌肉疲勞的分析測量方法。方法 對7名受試者進(jìn)行自主運動和電刺激兩種致肌疲勞的實驗,并在兩組實驗中分別記錄電刺激誘發(fā)與非誘發(fā)肌電信號,然后對每組信號進(jìn)行傅里葉變換求取功率譜和近似熵。結(jié)果 隨著疲勞的產(chǎn)生,兩組實驗誘發(fā)信號的頻譜曲線左移效果優(yōu)于非誘發(fā)信號,近似熵分析中電刺激組誘發(fā)信號出現(xiàn)先上升后下降的變化,自主運動組誘發(fā)信號則呈現(xiàn)單調(diào)遞減的趨勢。結(jié)論 低頻電刺激誘發(fā)表面肌電信號更適于測量肌疲勞的動態(tài)變化。相對于傳統(tǒng)功率譜,近似熵分析方法更適于處理電刺激誘發(fā)的表面肌電信號。

Objective To establish an effective method for evaluating muscular fatigue by using surface electromyography (sEMG) signals under electrical stimulation or rest condition. Methods Both sEMG signals under electrical stimulation conditions and rest condition were recorded during the experiments of muscular fatigue indicated by motion contraction and electrical stimulation. Power spectrum by Fourier transform and approximation entropy were extracted to analyze the signals. Results There were left shifts found on the curves of power spectrum in both voluntary and evoked sEMG signals on occurrence of fatigue,whereas no obvious shift on the curves of the resting ones. In the entropy analysis,there was a monotonous decrease in voluntary signal and an up and down tendency in electrical stimulation signal. Conclusions Both methods are good measures to indicate muscular fatigue,and are more indicative in active (i.e. voluntary and electrical stimulation) conditions than in rest conditions. And approximation entropy is more suitable to indicate fatigue of sEMG signals evoked by electrical stimulation.
 

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