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EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials
Joint Authors
Gonzalez, Alejandro
Nambu, Isao
Hokari, Haruhide
Wada, Yasuhiro
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Brain-machine interfaces (BMI) rely on the accurate classification of event-related potentials (ERPs) and their performance greatly depends on the appropriate selection of classifier parameters and features from dense-array electroencephalography (EEG) signals.
Moreover, in order to achieve a portable and more compact BMI for practical applications, it is also desirable to use a system capable of accurate classification using information from as few EEG channels as possible.
In the present work, we propose a method for classifying P300 ERPs using a combination of Fisher Discriminant Analysis (FDA) and a multiobjective hybrid real-binary Particle Swarm Optimization (MHPSO) algorithm.
Specifically, the algorithm searches for the set of EEG channels and classifier parameters that simultaneously maximize the classification accuracy and minimize the number of used channels.
The performance of the method is assessed through offline analyses on datasets of auditory ERPs from sound discrimination experiments.
The proposed method achieved a higher classification accuracy than that achieved by traditional methods while also using fewer channels.
It was also found that the number of channels used for classification can be significantly reduced without greatly compromising the classification accuracy.
American Psychological Association (APA)
Gonzalez, Alejandro& Nambu, Isao& Hokari, Haruhide& Wada, Yasuhiro. 2014. EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049289
Modern Language Association (MLA)
Gonzalez, Alejandro…[et al.]. EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1049289
American Medical Association (AMA)
Gonzalez, Alejandro& Nambu, Isao& Hokari, Haruhide& Wada, Yasuhiro. EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049289
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049289