Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals

BACKGROUND: Machine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is to propose an intra-subject approach for binary cl...

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Detalles Bibliográficos
Autores principales: Di Nardo, Francesco, Morbidoni, Christian, Mascia, Guido, Verdini, Federica, Fioretti, Sandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7389432/
https://www.ncbi.nlm.nih.gov/pubmed/32723335
http://dx.doi.org/10.1186/s12938-020-00803-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7389432/
https://www.ncbi.nlm.nih.gov/pubmed/32723335
http://dx.doi.org/10.1186/s12938-020-00803-1

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