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 proceedingConference PaperResearchpeer-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 200014 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
Period12/10/0014/10/00

Cite this