February 26, 2018

Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function

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Abstract

This study may lead to the development of seizure detection system with high performance, thus reducing the workload of epileptologists and facilitating to take corresponding steps promptly after the seizure onset. The high-frequency activity in the epilepsy brain may be of great importance for investigating the pathological mechanism and treatment of seizure.

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Wang et al. (Mon,) studied this question.

www.synapsesocial.com/papers/69d8cd97f39dfae3cad17dbb — DOI: https://doi.org/10.1109/tbme.2018.2809798

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Correlation-dimension and autocorrelation fluctuations in epileptic seizure dynamics· 2002 · 44 citations
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Subdural EEG Classification Into Seizure and Nonseizure Files Using Neural Networks in the Gamma Frequency Band· 2011 · 21 citations
The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets· 2012 · 884 citations

Authors

Dong Wang

Doutian Ren

Kuo Li

Journals

IEEE Transactions on Biomedical Engineering

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Institutions

Xi'an Jiaotong University

Northwest University

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Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function

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Abstract

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Cite this study

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Authors

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