A Novel Methodology for Classifying EMG Movements Based on SVM and Genetic Algorithms

Electromyography (EMG) processing is a fundamental part of medical research. It offers the possibility of developing new devices and techniques for the diagnosis, treatment, care, and rehabilitation of patients, in most cases non-invasively. However, EMG signals are random, non-stationary, and non-l...

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Detalles Bibliográficos
Autores principales: Aviles, Marcos, Sánchez-Reyes, Luz-María, Fuentes-Aguilar, Rita Q., Toledo-Pérez, Diana C., Rodríguez-Reséndiz, Juvenal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781991/
https://www.ncbi.nlm.nih.gov/pubmed/36557408
http://dx.doi.org/10.3390/mi13122108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781991/
https://www.ncbi.nlm.nih.gov/pubmed/36557408
http://dx.doi.org/10.3390/mi13122108

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