一种多通道表面肌电信号模拟的新方法。
A new approach for multi-channel surface EMG signal simulation.
作者信息
Ning Yong, Zhang Yingchun
机构信息
1School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023 Zhejiang China.
Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, 510000 China.
出版信息
Biomed Eng Lett. 2017 Jan 9;7(1):45-53. doi: 10.1007/s13534-017-0009-4. eCollection 2017 Feb.
Simulation models are necessary for testing the performance of newly developed approaches before they can be applied to interpreting experimental data, especially when biomedical signals such as surface electromyogram (SEMG) signals are involved. A new and easily implementable surface EMG simulation model was developed in this study to simulate multi-channel SEMG signals. A single fiber action potential (SFAP) is represented by the sum of three Gaussian functions. SFAP waveforms can be modified by adjusting the amplitude and bandwidth of the Gaussian functions. SEMG signals were successfully simulated at different detected locations. Effects of the fiber depth, electrode position and conduction velocity of SFAP on motor unit action potential (MUAP) were illustrated. Results demonstrate that the easily implementable SEMG simulation approach developed in this study can be used to effectively simulate SEMG signals.
在新开发的方法应用于解释实验数据之前，尤其是涉及表面肌电图（SEMG）信号等生物医学信号时，仿真模型对于测试其性能是必要的。本研究开发了一种新的且易于实现的表面肌电图仿真模型，用于模拟多通道SEMG信号。单个纤维动作电位（SFAP）由三个高斯函数的总和表示。通过调整高斯函数的幅度和带宽，可以修改SFAP波形。在不同检测位置成功模拟了SEMG信号。阐述了纤维深度、电极位置和SFAP传导速度对运动单位动作电位（MUAP）的影响。结果表明，本研究开发的易于实现的SEMG仿真方法可用于有效模拟SEMG信号。
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