TY - GEN
T1 - Mental task discrimination using EEG signals with genetically trained fuzzy ARTMAP
AU - Ramaswamy, Palaniappan
AU - Paramesran, Raveendran
AU - Nishida, Shogo
AU - Saiwaki, Naoki
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0034499391&partnerID=8YFLogxK
M3 - Conference Paper
AN - SCOPUS:0034499391
VL - 28
T3 - Annals of Biomedical Engineering
SP - S-116
BT - Annual Fall Meeting of the Biomedical Engineering Society 2000
T2 - Annual Fall Meeting of the Biomedical Engineering Society 2000
Y2 - 12 October 2000 through 14 October 2000
ER -