A wavelet-approximate entropy method for epileptic activity detection from EEG and its sub-bands

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 0.66
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"A wavelet-approximate entropy method for epileptic activity detection from EEG and its sub-bands"
written by Hamed Vavadi, Ahmad Ayatollahi, Ahmad Mirzaei,
published by Journal of Biomedical Science and Engineering, Vol.3 No.12, 2010

has been cited by the following article(s):

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[16]	Classification of Normal, Ictal and Inter-ictal EEG via Direct Quadrature and Random Forest Tree Journal of Medical and Biological Engineering, 2017 DOI:10.1007/s40846-017-0239-z

[17]	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

[18]	Monitoring Depth of Anesthesia Using Detrended Fluctuation Analysis Based on EEG Signals Journal of Medical and Biological Engineering, 2017 DOI:10.1007/s40846-016-0196-y

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[23]	Characterization of EEG signals for identification of alcoholics using ANOVA ranked approximate entropy and classifiers International Conference on Circuits, Communication, Control and Computing, 2014 DOI:10.1109/CIMCA.2014.7057769

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[27]	Effects of subject’s wakefulness state and health status on approximated entropy during eye opening and closure test of routine EEG examination Journal of Biomedical Science and Engineering, 2012 DOI:10.4236/jbise.2012.52011

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