EEG-BCI Features Discrimination between Executed and Imagined Movements Based on FastICA, Hjorth Parameters, and SVM

EEG-BCI Features Discrimination between Executed and Imagined Movements Based on FastICA, Hjorth Parameters, and SVM

Brain–Computer Interfaces (BCIs) communicate between a given user and their nearest environment through brain signals. In the case of device handling, an accurate control-based BCI depends essentially on how the user performs corresponding mental tasks. In the BCI illiteracy-related literature, one...

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Bibliographic Details
Main Authors: Tat’y Mwata-Velu, Armando Navarro Rodríguez, Yanick Mfuni-Tshimanga, Richard Mavuela-Maniansa, Jesús Alberto Martínez Castro, Jose Ruiz-Pinales, Juan Gabriel Avina-Cervantes
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
electroencephalogram (EEG)
fast independent component analysis (FastICA)
motor execution (ME)
motor imagery (MI)
brain–computer interfaces (BCIs)
support vector machines (SVMs)
Online Access:https://www.mdpi.com/2227-7390/11/21/4409

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https://www.mdpi.com/2227-7390/11/21/4409

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