A Genetic-Based Feature Selection Approach in the Identification of Left/Right Hand Motor Imagery for a Brain-Computer Interface

A Genetic-Based Feature Selection Approach in the Identification of Left/Right Hand Motor Imagery for a Brain-Computer Interface

Electroencephalography is a non-invasive measure of the brain electrical activity generated by millions of neurons. Feature extraction in electroencephalography analysis is a core issue that may lead to accurate brain mental state classification. This paper presents a new feature selection method th...

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Bibliographic Details
Main Authors: Charles Yaacoub, Georges Mhanna, Sandy Rihana
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Brain Sciences
Subjects:
brain-computer interface
feature selection
genetic algorithm
hand motor imagery
neural networks
Online Access:http://www.mdpi.com/2076-3425/7/1/12

Internet

http://www.mdpi.com/2076-3425/7/1/12

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