Ditapis dengan
A New Framework Based on Recurrence Quantification Analysis for Epileptic Se…
Abstract—This study presents applying recurrence quantificationanalysis(RQA)onEEGrecordingsandtheirsubbands:delta, theta,alpha,beta,andgammaforepilepticseizuredetection.RQA isadoptedsinceitdoesnotrequireassumptionsaboutstationarity, lengthofsignal,andnoise.ThedecompositionoftheoriginalEEG into its five constituent subbands helps better identification of the dynamical system of EEG signal. …
- Edisi
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- ISBN/ISSN
- 2168-2194
- Deskripsi Fisik
- IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 572-578
- Judul Seri
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- No. Panggil
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Detection of Seizure and Epilepsy Using Higher Order Statistics in the EMD Do…
Abstract—In this paper, a method using higher order statistical moments of EEG signals calculated in the empirical mode decomposition (EMD) domain is proposed for detecting seizure and epilepsy. The appropriateness of these moments in distinguishing the EEG signals is investigated through an extensive analysis in the EMD domain. An artificial neural network is employed as the classifier of …
- Edisi
- -
- ISBN/ISSN
- 2168-2194
- Deskripsi Fisik
- IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 312-318
- Judul Seri
- -
- No. Panggil
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