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.
Authors with CRIS profile
Involved external institutions
University of Birmingham
United Kingdom (GB)
University of Maribor (UM) / Univerza v Mariboru
Slovenia (SI)
University of Colorado at Boulder
United States (USA) (US)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Università degli Studi di Roma "Foro Italico"
Italy (IT)
United Kingdom (GB)
University of Maribor (UM) / Univerza v Mariboru
Slovenia (SI)
University of Colorado at Boulder
United States (USA) (US)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Università degli Studi di Roma "Foro Italico"
Italy (IT)
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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