Unsupervised fuzzy c-means clustering for motor imagery EEG recognition

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 8, 2011, Pages 4965-4976

  Hsu, Wei Yen ^a,d   Lin, Chi Yuan ^b   Kuo, Wen Feng ^c   Liou, Michelle ^a   Sun, Yung Nien ^d   Tsai, Arthur Chih Hsin ^a   Hsu, Hsien Jen ^d   Chen, Po Hsun ^d   Chen, I Ru ^e  

^a INSTITUTE OF STATISTICAL SCIENCE   (Taiwan)

^b NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY HOSPITAL   (Taiwan)

^d NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^e Department of Mathematics   (Taiwan)

Author keywords

Brain computer interface (BCI); Electroencephalogram (EEG); Fractal dimension (FD); Fuzzy c means (FCM); Motor imagery (MI)

Indexed keywords

ADAPTIVE APPROACH; BIOMEDICAL SIGNAL; BRAIN-COMPUTER INTERFACE (BCI); ELECTROENCEPHALOGRAM (EEG); FCM CLUSTERING; FRACTAL FEATURE; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS; MOTOR IMAGERY; MOTOR IMAGERY (MI); MOTOR IMAGERY EEG; MULTI-RESOLUTIONS; NONSTATIONARY; RECOGNITION SYSTEMS; SEGMENT SELECTION; SUPERVISED CLASSIFIERS; TIME FREQUENCY DOMAIN; UNSUPERVISED FUZZY C-MEANS CLUSTERING;

BIOELECTRIC PHENOMENA; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FRACTAL DIMENSION; FUZZY CLUSTERING; FUZZY SYSTEMS; INTERFACES (COMPUTER); PARTIAL DISCHARGES;

BRAIN COMPUTER INTERFACE;

EID: 79961034318     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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