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

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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Bibliographic Details
Main Authors: Marcos Aviles, Luz-María Sánchez-Reyes, Rita Q. Fuentes-Aguilar, Diana C. Toledo-Pérez, Juvenal Rodríguez-Reséndiz
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Micromachines
Subjects:
support vector machine
metaheuristic algorithms
feature selection
electromyography
pattern recognition
Online Access:https://www.mdpi.com/2072-666X/13/12/2108

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https://www.mdpi.com/2072-666X/13/12/2108

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