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

doi:10.1016/j.compbiomed.2019.05.016

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 journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	127-143
Number of pages	17
Journal	Computers in Biology and Medicine
Volume	110
DOIs	https://doi.org/10.1016/j.compbiomed.2019.05.016
Publication status	Published - 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

Access to Document

10.1016/j.compbiomed.2019.05.016

Cite this

@article{9b0cc1b897b84cc398fa65257c2e6a02,

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

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",

author = "S. Raghu and Natarajan Sriraam and Yasin Temel and Rao, {Shyam Vasudeva} and Hegde, {Alangar Satyaranjandas} and Kubben, {Pieter L.}",

year = "2019",

month = jul,

doi = "10.1016/j.compbiomed.2019.05.016",

language = "English",

volume = "110",

pages = "127--143",

journal = "Computers in Biology and Medicine",

issn = "0010-4825",

publisher = "Elsevier Science",

}

Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier. / Raghu, S.; Sriraam, Natarajan; Temel, Yasin; Rao, Shyam Vasudeva; Hegde, Alangar Satyaranjandas; Kubben, Pieter L.

In: Computers in Biology and Medicine, Vol. 110, 07.2019, p. 127-143.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier

AU - Raghu, S.

AU - Sriraam, Natarajan

AU - Temel, Yasin

AU - Rao, Shyam Vasudeva

AU - Hegde, Alangar Satyaranjandas

AU - Kubben, Pieter L.

PY - 2019/7

Y1 - 2019/7

KW - Discrete wavelet transforms (DWT)

KW - EEG

KW - Epilepsy

KW - Epileptic seizures

KW - Sigmoid entropy

KW - Support vector machine (SVM)

KW - EEG SIGNAL CLASSIFICATION

KW - WAVELET TRANSFORM

KW - COMPONENT ANALYSIS

KW - NEURAL-NETWORKS

KW - ELECTROENCEPHALOGRAM

KW - RECOGNITION

KW - ALGORITHM

KW - DIAGNOSIS

KW - ENERGY

KW - ONSET

U2 - 10.1016/j.compbiomed.2019.05.016

DO - 10.1016/j.compbiomed.2019.05.016

M3 - Article

C2 - 31154257

VL - 110

SP - 127

EP - 143

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

ER -