Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Diana C. Toledo-Perez"'
Publikováno v:
IEEE Access, Vol 12, Pp 13962-13970 (2024)
The best way to represent EMG signals for classification is a topic that has been widely studied due to the need to improve precision when identifying the type of movement being performed. However, by increasing the number of features when forming a
Externí odkaz:
https://doaj.org/article/1da3dcce976d454db21766ee11fe1a48
Publikováno v:
2021 XVII International Engineering Congress (CONIIN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54bb23624829e1b527942e3915934c48
https://doi.org/10.1109/coniin54356.2021.9634836
https://doi.org/10.1109/coniin54356.2021.9634836
Autor:
Marcos Aviles, Luz-María Sánchez-Reyes, Rita Q. Fuentes-Aguilar, Diana C. Toledo-Pérez, Juvenal Rodríguez-Reséndiz
Publikováno v:
Micromachines, Vol 13, Iss 12, p 2108 (2022)
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,
Externí odkaz:
https://doaj.org/article/6f81ede052b04e7893d49d8605688b34
Autor:
Diana C. Toledo-Pérez, Juvenal Rodríguez-Reséndiz, Roberto A. Gómez-Loenzo, J. C. Jauregui-Correa
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4402 (2019)
This paper gives an overview of the different research works related to electromyographic signals (EMG) classification based on Support Vector Machines (SVM). The article summarizes the techniques used to make the classification in each reference. Fu
Externí odkaz:
https://doaj.org/article/d426d079075e45398ffb6897bcea763f