Translation of surface electromyography to clinical and motor rehabilitation applications: The need for new clinical figures

Advanced sensors/electrodes and signal processing techniques provide powerful tools to analyze surface electromyographic signals (sEMG) and their features, to decompose sEMG into the constituent motor unit action potential trains, and to identify synergies, neural muscle drive, and EEG–sEMG coherenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Merletti, Roberto, Temporiti, Federico, Gatti, Roberto, Gupta, Sanjeev, Sandrini, Giorgio, Serrao, Mariano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2023
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024349/
https://www.ncbi.nlm.nih.gov/pubmed/36941919
http://dx.doi.org/10.1515/tnsci-2022-0279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024349/
https://www.ncbi.nlm.nih.gov/pubmed/36941919
http://dx.doi.org/10.1515/tnsci-2022-0279

Ejemplares similares