A feature selection method for multilevel mental fatigue EEG classification

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 7, 2007, Pages 1231-1237

  Shen, Kai Quan ^a   Ong, Chong Jin ^a   Li, Xiao Ping ^a   Hui, Zheng ^a   Wilder Smith, Einar P V ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Electroencephalogram (EEG); Feature selection; Mental fatigue; Random forests

Indexed keywords

DATA RECORDING; ERROR ANALYSIS; FEATURE EXTRACTION; HEURISTIC METHODS;

FEATURE ELIMINATION; INITIAL FEATURE RANKING SCHEME (INIT); MENTAL FATIGUE; RANDOM FOREST (RF);

ELECTROENCEPHALOGRAPHY;

ADULT; ARTICLE; DATA ANALYSIS; ELECTROENCEPHALOGRAM; FATIGUE; HUMAN; MENTAL STRESS; NORMAL HUMAN; RANDOM FOREST; TASK PERFORMANCE; TIME SERIES ANALYSIS;

ADULT; AROUSAL; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; MENTAL FATIGUE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34250698845     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.890733     Document Type: Article

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