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

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

Felici F;
2020-01-01

Abstract

Recent work demonstrated that it is possible to identify motor unit discharge times from high-density surfaceEMG (HDEMG) decomposition. Since then, the number of studies that use HDEMG decomposition for motor unitinvestigations has increased considerably. Although HDEMG decomposition is a semi-automatic process, theanalysis and interpretation of the motor unit pulse trains requires a thorough inspection of the output of thedecomposition result. Here, we report guidelines to perform an accurate extraction of motor unit discharge timesand interpretation of the signals. This tutorial includes a discussion of the differences between the extraction ofglobal EMG signal features versus the identification of motor unit activity for physiological investigations followedby a comprehensive guide on how to acquire, inspect, and decompose HDEMG signals, and robust extractionof motor unit discharge characteristics.
2020
Motor units
Neural drive
Blind source separation
EMG decomposition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14244/7569
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