Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods

Journal of Neuroscience Methods

Volumn 217, Issue 1-2, 2013, Pages 9-16

  Rasekhi, Jalil ^a   Mollaei, Mohammad Reza Karami ^a   Bandarabadi, Mojtaba ^b   Teixeira, Cesar A ^b   Dourado, Antonio ^b  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Classification; Epilepsy; Features selection; Seizure prediction; Space reduction

Indexed keywords

ADOLESCENT; ADULT; ALPHA RHYTHM; ARTICLE; BETA RHYTHM; CLINICAL ARTICLE; DELTA RHYTHM; ELECTRODE; ELECTROENCEPHALOGRAM; FEMALE; FOURIER TRANSFORMATION; GAMMA RHYTHM; HUMAN; MACHINE LEARNING; MALE; PREDICTION; PRIORITY JOURNAL; SEIZURE; SUPPORT VECTOR MACHINE; THETA RHYTHM; TIME;

ADOLESCENT; ADULT; ALGORITHMS; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LINEAR MODELS; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; YOUNG ADULT;

EID: 84878230699     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.03.019     Document Type: Article

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