EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials

@inproceedings{Gonzlez2014EEGCS,
  title={EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials},
  author={Alejandro F. Gonz{\'a}lez and Isao Nambu and Haruhide Hokari and Yasuhiro Wada},
  booktitle={TheScientificWorldJournal},
  year={2014}
}
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… CONTINUE READING
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