Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals-Reference-Cited by-同舟云学术

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Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals

Published:2019-01 Issue:1 Volume:130 Page:25-37
ISSN:1388-2457
Container-title:Clinical Neurophysiology
language:en
Short-container-title:Clinical Neurophysiology

Author:

Hussein Ramy,Palangi Hamid,Ward Rabab K.,Wang Z. Jane

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Physiology (medical),Clinical Neurology,Neurology,Sensory Systems

Reference65 articles.

1. A fuzzy rule-based system for epileptic seizure detection in intracranial EEG;Aarabi;Clin Neurophysiol,2009

2. Automated neonatal seizure detection: a multistage classification system through feature selection based on relevance and redundancy analysis;Aarabi;Clin Neurophysiol,2006

3. Epileptic spike detection using continuous wavelet transforms and artificial neural networks;Abibullaev;Int J Wavelets Multiresolut Inf Process,2010

4. Ensemble classifier for epileptic seizure detection for imperfect EEG data;Abualsaud;Sci World J,2015

5. Automated diagnosis of epileptic EEG using entropies;Acharya;Biomed Signal Process Control,2012

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