EEG Feature Extraction Using Genetic Programming for the Classification of Mental States

EEG Feature Extraction Using Genetic Programming for the Classification of Mental States

The design of efficient electroencephalogram (EEG) classification systems for the detection of mental states is still an open problem. Such systems can be used to provide assistance to humans in tasks where a certain level of alertness is required, like in surgery or in the operation of heavy machin...

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Bibliographic Details
Main Authors: Emigdio Z-Flores, Leonardo Trujillo, Pierrick Legrand, Frédérique Faïta-Aïnseba
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Algorithms
Subjects:
EEG
classification
genetic programming
feature extraction
mental states
Online Access:https://www.mdpi.com/1999-4893/13/9/221

Internet

https://www.mdpi.com/1999-4893/13/9/221

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