Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

Del Vecchio A, Holobar A, Falla D, Felici F, Enoka RM, Farina D (2020)


Publication Type: Journal article

Publication year: 2020

Journal

Book Volume: 53

Article Number: 102426

DOI: 10.1016/j.jelekin.2020.102426

Abstract

Recent work demonstrated that it is possible to identify motor unit discharge times from high-density surface EMG (HDEMG) decomposition. Since then, the number of studies that use HDEMG decomposition for motor unit investigations has increased considerably. Although HDEMG decomposition is a semi-automatic process, the analysis and interpretation of the motor unit pulse trains requires a thorough inspection of the output of the decomposition result. Here, we report guidelines to perform an accurate extraction of motor unit discharge times and interpretation of the signals. This tutorial includes a discussion of the differences between the extraction of global EMG signal features versus the identification of motor unit activity for physiological investigations followed by a comprehensive guide on how to acquire, inspect, and decompose HDEMG signals, and robust extraction of motor unit discharge characteristics.

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How to cite

APA:

Del Vecchio, A., Holobar, A., Falla, D., Felici, F., Enoka, R.M., & Farina, D. (2020). Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals. Journal of Electromyography and Kinesiology, 53. https://doi.org/10.1016/j.jelekin.2020.102426

MLA:

Del Vecchio, Alessandro, et al. "Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals." Journal of Electromyography and Kinesiology 53 (2020).

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