Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Fernanda Rosas-Agraz"'
Autor:
Erick Guzmán-Quezada, Claudia Mancilla-Jiménez, Fernanda Rosas-Agraz, Rebeca Romo-Vázquez, Hugo Vélez-Pérez
Publikováno v:
Sensors, Vol 24, Iss 11, p 3264 (2024)
The integration of artificial intelligence (AI) models in the classification of electromyographic (EMG) signals represents a significant advancement in the design of control systems for prostheses. This study explores the development of a portable sy
Externí odkaz:
https://doaj.org/article/d3e3394860924f8686d4fccbe93ab74b
Autor:
Guzmán-Quezada, Erick1 (AUTHOR) erick.guzman@edu.uag.mx, Mancilla-Jiménez, Claudia2 (AUTHOR) claudia.mancilla@edu.uag.mx, Rosas-Agraz, Fernanda1,3 (AUTHOR) rebeca.romo@academicos.udg.mx, Romo-Vázquez, Rebeca3 (AUTHOR) hugo.velez@academicos.udg.mx, Vélez-Pérez, Hugo3 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3264. 14p.