2023
DOI: 10.1101/2023.10.05.560588
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NeuroMotion: Open-source Simulator with Neuromechanical and Deep Network Models to Generate Surface EMG signals during Voluntary Movement

Shihan Ma,
Irene Mendez Guerra,
Arnault Hubert Caillet
et al.

Abstract: Neuromechanical studies investigate how the nervous system interacts with the musculoskeletal (MSK) system to generate volitional movements. Such studies have been supported by simulation models that provide insights into variables that cannot be measured experimentally and allow a large number of conditions to be tested before the experimental analysis. However, current simulation models of electromyography (EMG), a core physiological signal in neuromechanical analyses, are mainly limited to static contractio… Show more

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Cited by 2 publications
(5 citation statements)
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“…Importantly, the maximum median NMSE (∼ 0.2 n.u.) was similar in both simulated and recorded MUAPs, supporting the suitability of NeuroMotion [19] as a tool to model dynamic contractions for dynamic decomposition models. In fact, the simulated/detected MUAP changes were qualitatively similar to those reported by Holobar and collaborators [12,13] for the biceps brachi.…”
Section: Effect Of Dynamics In the Muapssupporting
confidence: 61%
See 3 more Smart Citations
“…Importantly, the maximum median NMSE (∼ 0.2 n.u.) was similar in both simulated and recorded MUAPs, supporting the suitability of NeuroMotion [19] as a tool to model dynamic contractions for dynamic decomposition models. In fact, the simulated/detected MUAP changes were qualitatively similar to those reported by Holobar and collaborators [12,13] for the biceps brachi.…”
Section: Effect Of Dynamics In the Muapssupporting
confidence: 61%
“…Shortening and lengthening contractions at constant force were simulated using a full-spectrum dynamic neuromechanical model (NeuroMotion, [19]). The open-source model combines a neural model [24] that simulates MNs' recruitment and force production; an AI-based volume conductor model (BioMime, [22]) that generates and/or morphs MUAPs based on dynamic physiological parameters; and an OpenSim upper limb musculoskeletal model to infer the dynamic parameters.…”
Section: Neuromuscular Model Simulationsmentioning
confidence: 99%
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“…For example, in multi-muscle MSK models with MU-actuated volumetric representations of muscles, the model proposed in Fig 1 is also suited for the investigation of neural synergies between muscles, where MN clusters span across muscles [35], with strategies specific to the muscle groups [107]. In the field of neurophysiology, the model of MU population proposed in this study is also applicable for the computational generation of surface EMG signals during voluntary movement [108].…”
Section: Plos Computational Biologymentioning
confidence: 99%