Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier

S. Raghu, Natarajan Sriraam*, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter L. Kubben

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)127-143
Number of pages17
JournalComputers in Biology and Medicine
Volume110
DOIs
Publication statusPublished - Jul 2019

Keywords

  • Discrete wavelet transforms (DWT)
  • EEG
  • Epilepsy
  • Epileptic seizures
  • Sigmoid entropy
  • Support vector machine (SVM)
  • EEG SIGNAL CLASSIFICATION
  • WAVELET TRANSFORM
  • COMPONENT ANALYSIS
  • NEURAL-NETWORKS
  • ELECTROENCEPHALOGRAM
  • RECOGNITION
  • ALGORITHM
  • DIAGNOSIS
  • ENERGY
  • ONSET

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