Evaluation of the effectiveness of PCA and ICA in improving muscle movement recognition from raw EMG signals

In the last decade, the development of classification models through machine learning for the control of multifunctional prosthetic devices has been increasing. Electromyography (EMG) are recordings produced by muscle fibers naturally when performing movements; if modeled, they could play a more act...

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Библиографические подробности
Главные авторы: Amezquita Garcia, Jose Alejandro, Bravo Zanoguera, Miguel Enrique, Fabian Natanael
Формат: Online
Язык:spa
Опубликовано: Universidad Autónoma de Baja California 2023
Online-ссылка:https://recit.uabc.mx/index.php/revista/article/view/318
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