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Tutorial on MUedit: An open-source software for identifying and analysing the discharge timing of motor units from electromyographic signals

Lookup NU author(s): Professor Stuart BakerORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

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Author(s): Avrillon S, Hug F, Baker SN, Gibbs C, Farina D

Publication type: Article

Publication status: Published

Journal: Journal of Electrophysiology and Kinesiology

Year: 2024

Volume: 77

Print publication date: 01/08/2024

Online publication date: 13/05/2024

Acceptance date: 03/05/2024

Date deposited: 07/05/2024

ISSN (print): 1050-6411

ISSN (electronic): 1873-5711

Publisher: Elsevier

URL: https://doi.org/10.1016/j.jelekin.2024.102886

DOI: 10.1016/j.jelekin.2024.102886

ePrints DOI: 10.57711/5sf3-nb87

Data Access Statement: The entire data set (raw and processed data), codes, and a user manual of the software are available at https://github.com/simonavrillon/MUedit for a version coded with Matlab (version 2022b, The MathWorks, Inc, USA). A version of the software coded with Python (Python 3.9.15, Python Software Foundation, USA) is available at https://github.com/ciaragibbs/MUEdit_Python.

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