MyoGen

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Authors: Raul Sîmpetru, Ricardo Gonçalves Molinari, Devon R. Rohlf, Rebeka L. Batichotti, Renato Watanabe, Leonardo Abdala Elias, Alessandro Del Vecchio
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Abstract

MyoGen is a modular and extensible neuromuscular simulation framework for generating physiologically grounded motor-unit activity, muscle force, and surface EMG signals. It supports end-to-end modeling of the neuromuscular pathway, from descending neural drive and spinal motor neuron dynamics to muscle activation and bioelectric signal formation at the electrode level. MyoGen is designed for algorithm validation, hypothesis-driven research, and education, providing configurable building blocks that can be independently combined and extended.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 July 2026