Statistical analysis of Epileptic activities based on Histogram and Wavelet-Spectral entropy

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
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"Statistical analysis of Epileptic activities based on Histogram and Wavelet-Spectral entropy"
written by Ahmad Mirzaei, Ahmad Ayatollahi, Hamed Vavadi,
published by Journal of Biomedical Science and Engineering, Vol.4 No.3, 2011

has been cited by the following article(s):

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[1]	An adaptive barrier function terminal sliding mode controller for partial seizure disease based on the Pinsky–Rinzel mathematical model
	Mathematics, 2022

[2]	Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients
	Physical Review E, 2022

[3]	A New Wavelet-Based Neural Network for Classification of Epileptic-Related States using EEG
	2019

[4]	A hybrid automated detection of epileptic seizures in EEG based on wavelet and machine learning techniques
	2018

[5]	A versatile EEG spike detector with multivariate matrix of features based on the linear discriminant analysis, combined wavelets, and descriptors
	Pattern Recognition Letters, 2017

[6]	Epileptic seizure detection using EEG signals by means of stationary wavelet transforms
	2016

[7]	Influences of the signal border extension in the discrete wavelet transform in EEG spike detection
	2016

[8]	Diagn ostico de la epilepsia a partir de la reconstrucci on del atractor a del EEG
	2016

[9]	Prediction of the outcome in cardiac arrest patients undergoing hypothermia using EEG wavelet entropy
	2016

[10]	A hybrid automated detection of epileptic seizures in EEG records
	Computers & Electrical Engineering, 2015

[11]	Identification of Epilepsy Seizures Using Multi-resolution Analysis and Artificial Neural Networks
	Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Springer International Publishing, 2014

[12]	Epilepsy Seizure Detection in EEG Signals Using Wavelet Transforms and Neural Networks
	E Juárez-Guerra, V Alarcon-Aquino, P Gómez-Gil - ccc.inaoep.mx, 2014

[13]	Chaotic analysis of the human brain cortical model and robust control of epileptic seizures using sliding mode control
	Systems Science & Control Engineering: An Open Access Journal, 2014

[14]	The Wavelet Transform Border Effect in EEG Spike Signals
	World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. Springer Berlin Heidelberg, 2013

[1]	Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients Physical Review E, 2022 DOI:10.1103/PhysRevE.105.034212

[2]	An Adaptive Barrier Function Terminal Sliding Mode Controller for Partial Seizure Disease Based on the Pinsky–Rinzel Mathematical Model Mathematics, 2022 DOI:10.3390/math10162940

[3]	A New Wavelet-Based Neural Network for Classification of Epileptic-Related States using EEG Journal of Signal Processing Systems, 2019 DOI:10.1007/s11265-019-01456-7

[4]	A versatile EEG spike detector with multivariate matrix of features based on the linear discriminant analysis, combined wavelets, and descriptors Pattern Recognition Letters, 2017 DOI:10.1016/j.patrec.2016.12.018

[5]	Influences of the signal border extension in the discrete wavelet transform in EEG spike detection Research on Biomedical Engineering, 2016 DOI:10.1590/2446-4740.01815

[6]	A hybrid automated detection of epileptic seizures in EEG records Computers & Electrical Engineering, 2016 DOI:10.1016/j.compeleceng.2015.09.001

[7]	New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering Lecture Notes in Electrical Engineering, 2015 DOI:10.1007/978-3-319-06764-3_33

[8]	New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering Lecture Notes in Electrical Engineering, 2015 DOI:10.1007/978-3-319-06764-3_33

[9]	Recent Advances on Hybrid Approaches for Designing Intelligent Systems Studies in Computational Intelligence, 2014 DOI:10.1007/978-3-319-05170-3_23

[10]	Chaotic analysis of the human brain cortical model and robust control of epileptic seizures using sliding mode control Systems Science & Control Engineering, 2014 DOI:10.1080/21642583.2014.891448

[11]	Recent Advances on Hybrid Approaches for Designing Intelligent Systems Studies in Computational Intelligence, 2014 DOI:10.1007/978-3-319-05170-3_23

Follow SCIRP

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	customer@scirp.org
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