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A new approach for multi-channel surface EMG signal simulation

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Abstract

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.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China 51677171, Zhejiang Provincial Natural Science Foundation of China LY17C100001, Department of Education of Zhejiang Province Y201533132, Guangdong Provincial Work Injury Rehabilitation Center, and the University of Houston.

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Authors and Affiliations

  1. School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, Zhejiang, China

    Yong Ning

  2. Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, 510000, China

    Yingchun Zhang

  3. Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, 3605 Cullen Blvd, Room 2024, Houston, TX, 77204, USA

    Yingchun Zhang

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  1. Yong Ning
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  2. Yingchun Zhang
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Correspondence to Yingchun Zhang.

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Y. Ning declares that he has no conflict of interest in relation to the work in this article. Y. Zhang declares that he has no conflict of interest in relation to the work in this article.

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Ning, Y., Zhang, Y. A new approach for multi-channel surface EMG signal simulation. Biomed. Eng. Lett. 7, 45–53 (2017). https://doi.org/10.1007/s13534-017-0009-4

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  • DOI: https://doi.org/10.1007/s13534-017-0009-4

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