A Feature-Encoded Physics-Informed Parameter Identification Neural Network for Musculoskeletal Systems

Identification of muscle-tendon force generation properties and muscle activities from physiological measurements, e.g., motion data and raw surface electromyography (sEMG), offers opportunities to construct a subject-specific musculoskeletal (MSK) digital twin system for health condition assessment...

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Detalles Bibliográficos
Autores principales: Taneja, Karan, He, Xiaolong, He, QiZhi, Zhao, Xinlun, Lin, Yun-An, Loh, Kenneth J., Chen, Jiun-Shyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Mechanical Engineers 2022
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632475/
https://www.ncbi.nlm.nih.gov/pubmed/35972808
http://dx.doi.org/10.1115/1.4055238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632475/
https://www.ncbi.nlm.nih.gov/pubmed/35972808
http://dx.doi.org/10.1115/1.4055238

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