Tutorial: analysis of motor unit discharge characteristics from high-density surface EMG signals
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
- University of Maribor
- University of Colorado Boulder
- University of Rome "Foro Italico"
- Imperial College London
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.
|Journal||Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology|
|Early online date||8 May 2020|
|Publication status||Published - Aug 2020|