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A Genetic-Based Feature Selection Approach in the Identification of Left/Right Hand Motor Imagery fo...

A Genetic-Based Feature Selection Approach in the Identification of Left/Right Hand Motor Imagery fo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58a60087687a4329b5553a2bcc7aaecc

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

Brain sciences, 2017-01, Vol.7 (1), p.12-12

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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 that improves left/right hand movement identificatio...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_58a60087687a4329b5553a2bcc7aaecc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58a60087687a4329b5553a2bcc7aaecc

Other Identifiers

ISSN

2076-3425

E-ISSN

2076-3425

DOI

10.3390/brainsci7010012

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