Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction

International Conference on Systems in Medicine and Biology, ICSMB 2010 - Proceedings

Volumn , Issue , 2010, Pages 405-408

  Panda, R ^a   Khobragade, P S ^b   Jambhule, P D ^c   Jengthe, S N ^d   Pal, P R ^d   Gandhi, T K ^e  

^a TRIDENT ACADEMY OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c GOVERNMENT COLLEGE OF ENGINEERING   (India)

^d Research Center   (India)

^e INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Discrete Wavelet Transform (DWT); Electroencephalogram (EEGs); Epileptic; Seizure; Support Vector Machine (SVM)

Indexed keywords

CLASSIFICATION ACCURACY; DECOMPOSITION TREES; DESIGN-EXPERT; EEG SIGNALS; ELECTROENCEPHALOGRAM (EEGS); EPILEPTIC; EPILEPTIC SEIZURES; FEATURE EXTRACTION AND CLASSIFICATION; HEALTHY SUBJECTS; NON-LINEAR; NONSTATIONARY SIGNALS; OPEN CONDITION; SEIZURE; SIGNAL PROCESSING TECHNIQUE; STANDARD DEVIATION; SVM(SUPPORT VECTOR MACHINE);

DISCRETE WAVELET TRANSFORMS; ELECTROENCEPHALOGRAPHY; EXPERT SYSTEMS; FEATURE EXTRACTION; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS; WAVELET DECOMPOSITION;

SIGNAL DETECTION;

EID: 79955700338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMB.2010.5735413     Document Type: Conference Paper

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