EEG signal classification based on simple random sampling technique with least square support vector machine

International Journal of Biomedical Engineering and Technology

Volumn 7, Issue 4, 2011, Pages 390-409

  Siuly, ^a   Li, Yan ^a   Wen, Peng ^a  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

EEG; Electroencephalogram; Feature extraction; Least square support vector machine; LS SVM; Signal classification; Simple random sampling technique

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; SIGNAL SAMPLING; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; EEG SIGNAL CLASSIFICATION; ELECTROENCEPHALOGRAM SIGNALS; LEAST SQUARE SUPPORT VECTOR MACHINES; LS-SVM; SIGNAL CLASSIFICATION; SIMPLE RANDOM SAMPLING;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84860259505     PISSN: 17526418     EISSN: 17526426     Source Type: Journal    
DOI: 10.1504/IJBET.2011.044417     Document Type: Article

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