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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Amezquita Garcia, Jose Alejandro, Bravo Zanoguera, Miguel Enrique, Fabian Natanael
Format: Online
Language:spa
Published: Universidad Autónoma de Baja California 2023
Online Access:https://recit.uabc.mx/index.php/revista/article/view/318
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://recit.uabc.mx/index.php/revista/article/view/318

Similar Items