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Published April 8, 2024 | Version 1.0.0
Dataset Open

Short example of Biceps Brachii muscle surface HDEMG decomposition using the DEMUSE Tool

  • 1. ROR icon University of Maribor

Contributors

Data curator:

  • 1. ROR icon University of Maribor

Description

This dataset contains 4 examples of synthetic high density surface EMG signals of the Biceps Brachii muscle and results of their decomposition into separate motor unit activity. It is intended as a demonstration of the DEMUSE Tool software for sEMG decomposition and as a basis for practical example of dataset preparation for the HybridNeuro project webinar on Data management and ethics (https://www.hybridneuro.feri.um.si/results.html#webinars). Two sets of data are included: the raw simulated sEMG signals and the results of decomposition of those signals with the DEMUSE Tool.

Files

DEMUSE_Tool_parameters.png

Files (401.3 MB)

Additional details

Funding

HybridNeuro – Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders 101079392
European Commission
Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders (HybridNeuro) 10052152
UK Research and Innovation

Dates

Created
2024-04-03
Date of dataset creation

References

  • Farina, Dario, Luca Mesin, Simone Martina, and Roberto Merletti. "A surface EMG generation model with multilayer cylindrical description of the volume conductor." IEEE Transactions on Biomedical Engineering 51, no. 3 (2004): 415-426. doi: 10.1109/TBME.2003.820998.
  • Fuglevand, Andrew J., David A. Winter, and Aftab E. Patla. "Models of recruitment and rate coding organization in motor-unit pools." Journal of neurophysiology 70, no. 6 (1993): 2470-2488.
  • Holobar, Aleš, Marco Alessandro Minetto, and Dario Farina. "Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric." Journal of neural engineering 11, no. 1 (2014): 016008.