Mental task discrimination using EEG signals with genetically trained fuzzy ARTMAP

Mental task discrimination using EEG signals with genetically trained fuzzy ARTMAP

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/o...

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Veröffentlicht in:Annals of biomedical engineering 2000-01, Vol.28 (SUPPL. 1), p.S-116
Hauptverfasser: Ramaswamy, Palaniappan, Paramesran, Raveendran, Nishida, Shogo, Saiwaki, Naoki
Format: Artikel
Sprache:eng
Schlagworte:
Electroencephalography
Genetic algorithms
Neurophysiology
Optimization
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Zusammenfassung: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.
ISSN:0090-6964