Selecting optimal EEG channels for mental tasks classification: An approach using ICA

Rifai Chai, Ganesh R. Naik, Tuan N. Nguyen, Sai Ho Ling, Yvonne Tran, Hung T. Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a systematic method to select optimal electroencephalography (EEG) channels for three mental tasks-based brain-computer interface (BCI) classification. A blind source separation (BSS) technique based on independent component analysis (ICA) with its back-projecting of the scalp map was used for selecting the optimal EEG channels. The three mental tasks included: mental letter composing, mental arithmetic and mental Rubik's cube rolling. Based on a power spectral density (PSD), the features of the two-channel EEG data were extracted, and then were classified by Bayesian neural network. The results of the ICA decomposition with the back-projected scalp map showed that the prominent channels could be selected for dominant features from original six EEG channels (C3, C4, P3, P4, O1, O2) to four dominant channels (P3, O1, C4, O2) with the best two EEG channels selection at O1&C4. Two channel combinations classification yielded to the best two EEG channels of O1&C4 with an accuracy of 76.4%, followed by P3&O2 with an accuracy of 74.5%; P3&C4 with an accuracy of 71.9% and O1&O2 with an accuracy of 70%.

Original languageEnglish
Title of host publication2016 IEEE Congress on Evolutionary Computation (CEC)
Place of PublicationVancouver
PublisherIEEE
Pages1331-1335
Number of pages5
ISBN (Electronic)9781509006229, 9781509006236
ISBN (Print)9781509006243
DOIs
Publication statusPublished - 21 Nov 2016
Externally publishedYes
Event2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016

Conference

Conference2016 IEEE Congress on Evolutionary Computation, CEC 2016
CountryCanada
CityVancouver
Period24/07/1629/07/16

Keywords

  • Bayesian neural network
  • Brain-computer interface (BCI)
  • Electroencephalography (EEG)
  • Independent component analysis (ICA)
  • Scalp map

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