Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing

Expert Systems with Applications

Volumn 40, Issue 6, 2013, Pages 2102-2108

  Hidalgo Munoz A R ^a   Lopez M M ^b   Santos, I M ^c   Pereira, A T ^c   Vazquez Marrufo M ^a   Galvao Carmona, A ^a   Tome A M ^b  

^a UNIVERSITY OF SEVILLE   (Spain)

^b UNIVERSITY OF AVEIRO   (Portugal)

^c UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

Affective valence; Brain oscillations; EEG; Feature extraction; Morlet wavelet; SVM RFE

Indexed keywords

AFFECTIVE VALENCE; BRAIN CORTEX; BRAIN OSCILLATIONS; CLINICAL APPLICATION; EEG SIGNALS; EVENT RELATED POTENTIALS; FEATURE EXTRACTION AND SELECTION; FEATURE SELECTION METHODS; FEATURE SPACE; INPUT SPACE; MORLET WAVELET; MORLET WAVELET FILTER; PICTURE SYSTEM; SPECTRAL DYNAMICS; SUPPORT VECTOR; SVM-RFE; TIME INTERVAL; VISUAL STIMULUS;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FREQUENCY BANDS; SUPPORT VECTOR MACHINES;

SIGNAL DETECTION;

EID: 84872833087     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.10.013     Document Type: Article

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