首页> Computers in biology and medicine> Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier.

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

导出 LinkOut

翻译打印收藏纠错

第一作者： S,Raghu

第一单位： Department of Neurosurgery, School for Mental Health and Neuroscience of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Center for Medical Electronics and Computing, M S Ramaiah Institute of Technology, Bengaluru, India. Electronic address: r.raghu@maastrichtuniversity.nl.

作者： S,Raghu ^[1] ; Natarajan,Sriraam ^[2] ; Yasin,Temel ^[3] ; Shyam Vasudeva,Rao ^[4] ; Alangar Satyaranjandas,Hegde ^[5] ; Pieter L,Kubben ^[3]

作者单位： Department of Neurosurgery, School for Mental Health and Neuroscience of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Center for Medical Electronics and Computing, M S Ramaiah Institute of Technology, Bengaluru, India. Electronic address: r.raghu@maastrichtuniversity.nl. ^[1] Center for Medical Electronics and Computing, M S Ramaiah Institute of Technology, Bengaluru, India. Electronic address: sriraam@msrit.edu. ^[2] Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands. ^[3] Maastricht University, Maastricht, the Netherlands. ^[4] Institute of Neuroscience, Ramaiah Medical College and Hospitals, Bengaluru, India. ^[5]

关键词 Discrete wavelet transforms (DWT)EEG Epilepsy Epileptic seizures Sigmoid entropy Support vector machine (SVM)