Automated EEG analysis of epilepsy: A review-Reference-Cited by-同舟云学术

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Automated EEG analysis of epilepsy: A review

Published:2013-06 Issue: Volume:45 Page:147-165
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Acharya U. Rajendra,Vinitha Sree S.,Swapna G.,Martis Roshan Joy,Suri Jasjit S.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference141 articles.

1. Dynamical analysis of EEG signals at various sleep stages;Acharya;Comput. Methods Programs Biomed.,2005

2. Automatic identification of epileptic EEG signals using nonlinear parameters;Acharya;J. Mech. Med. Biol.,2009

3. Automatic detection of epileptic EEG signals using higher order cumulant features;Acharya;Int. J. Neural Syst.,2011

4. Application of recurrence quantification analysis for the automated identification of epileptic EEG signals;Acharya;Int. J. Neural Syst.,2011

5. Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals;Acharya;Int. J. Neural Syst.,2012

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