Classifying muscle parameters with artificial neural networks and simulated lateral pinch data

OBJECTIVE: Hill-type muscle models are widely employed in simulations of human movement. Yet, the parameters underlying these models are difficult or impossible to measure in vivo. Prior studies demonstrate that Hill-type muscle parameters are encoded within dynamometric data. But, a generalizable a...

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Detalles Bibliográficos
Autores principales: Kearney, Kalyn M., Harley, Joel B., Nichols, Jennifer A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412284/
https://www.ncbi.nlm.nih.gov/pubmed/34473706
http://dx.doi.org/10.1371/journal.pone.0255103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412284/
https://www.ncbi.nlm.nih.gov/pubmed/34473706
http://dx.doi.org/10.1371/journal.pone.0255103

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