CAJ | 학술논문

目的通过对仿真与真实表面肌电信号(sEMG)的波形匹配以及肌疲劳现象的分析,研究sEMG信号的模型参数辨识问题. 方法在运动单位仿真的基础上,引入神经激励对运动单位的募集和发放控制特性,建立了一个较为完善的sEMG信号生理学模型.利用调整模型相关生理参数使仿真与真实sEMG信号的运动单位动作电位(MUAP)波形相匹配的方法,实现对模型参数进行估计,通过调节肌纤维传导速度(MFCV)使仿真与真实sEMG信号的平均频率(MNF)及中值频率(MDF)拟合直线趋势相似的方法,研究肌肉的疲劳现象及其机理. 结果适当调节sEMG信号模型参数可使仿真信号波形逼近真实sEMG信号波形,各个肌纤维的MFCV在模拟恒力持续收缩过程中减小时,仿真信号的MNF和MDF拟合直线呈下降趋势. 结论采用模型方法能够实现仿真与真实sEMG信号波形的良好匹配,并能够有效地表达肌肉的疲劳过程,可应用于肌电信号相关领域的研究.
목적 통과대방진여진실표면기전신호(sEMG)적파형필배이급기피로현상적분석,연구sEMG신호적모형삼수변식문제. 방법 재운동단위방진적기출상,인입신경격려대운동단위적모집화발방공제특성,건립료일개교위완선적sEMG신호생이학모형.이용조정모형상관생리삼수사방진여진실sEMG신호적운동단위동작전위(MUAP)파형상필배적방법,실현대모형삼수진행고계,통과조절기섬유전도속도(MFCV)사방진여진실sEMG신호적평균빈솔(MNF)급중치빈솔(MDF)의합직선추세상사적방법,연구기육적피로현상급기궤리. 결과 괄당조절sEMG신호모형삼수가사방진신호파형핍근진실sEMG신호파형,각개기섬유적MFCV재모의항력지속수축과정중감소시,방진신호적MNF화MDF의합직선정하강추세. 결론 채용모형방법능구실현방진여진실sEMG신호파형적량호필배,병능구유효지표체기육적피로과정,가응용우기전신호상관영역적연구.
Objective To identify the model parameters of surface Electromyography (sEMG) by comparison between simulated and recorded signals. Methods A physiological model of sEMG signal was established basing on several logical hypothetical conditions, such as motor unit action potentials (MUAP), motor unit recruitment and firing behavior caused by excitation, architecture of volume conductor and other simulated factors. According to the matched shapes between the simulated and recorded sEMG signals, a group of model parameters was obtained; according to the similar power spectrum variations of real sEMG signals, decreased muscle fiber conduction velocity (MFCV) was applied to simulate the sEMG signals of the fatigued muscle. Results The experimental results showed that the simulated superimposed MUAP shapes could be matched with the recorded MUAPs satisfactorily by adjusting some proper physiological parameters of the model. When the MFCV of each fiber was assumed to decrease, the mean and median frequency (MNF, MDF) of the simulated sEMG signals declined, and this phenomenon was very similar to that of the recorded sEMG signals and could be used to interpret the muscle fatigue process. Conclusion This model provides an effective approach to simulate real sEMG signals, and the simulated signals can also be used to help the analysis of recorded sEMG signals.