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Mental task discrimination using EEG signals with genetically trained fuzzy ARTMAP

  • Palaniappan Ramaswamy
  • , Raveendran Paramesran
  • , Shogo Nishida
  • , Naoki Saiwaki

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

This study demonstrates the possibility of discriminating accurately between human mental tasks based on electroencephalogram (EEG) signals only. To solve this problem, a novel method of fusing genetic algorithms (GA) is proposed. This technique is general and is applicable to any optimization and/or classification problems.

Original languageEnglish
Title of host publicationAnnual Fall Meeting of the Biomedical Engineering Society 2000
PagesS-116
Volume28
EditionSUPPL. 1
Publication statusPublished - 2000
Externally publishedYes
EventAnnual Fall Meeting of the Biomedical Engineering Society 2000 - Washington, United States of America
Duration: 12 Oct 2000 → 14 Oct 2000

Publication series

NameAnnals of Biomedical Engineering
PublisherSpringer-Verlag London Ltd.
ISSN (Print)0090-6964

Conference

ConferenceAnnual Fall Meeting of the Biomedical Engineering Society 2000
Country/TerritoryUnited States of America
CityWashington
Period12/10/00 → 14/10/00

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