EEG autoregressive modeling analysis: A diagnostic tool for patients with epilepsy without epileptiform discharges-Reference-Cited by-同舟云学术

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EEG autoregressive modeling analysis: A diagnostic tool for patients with epilepsy without epileptiform discharges

Published:2020-08 Issue:8 Volume:131 Page:1902-1908
ISSN:1388-2457
Container-title:Clinical Neurophysiology
language:en
Short-container-title:Clinical Neurophysiology

Author:

Ouyang Chen-Sen,Yang Rei-Cheng,Chiang Ching-Tai,Wu Rong-Ching,Lin Lung-Chang

Funder

Kaohsiung Medical University

Kaohsiung Medical University Hospital

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals;Acharya;Comput Biol Med,2018

2. Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier;Acır;Expert Syst Appl,2005

3. Epileptic EEG detection using the linear prediction error energy;Altunay;Expert Syst Appl,2010

4. Determination of autoregressive model orders for seizure detection;Aydin;Turk J Electr Eng Co,2010

5. Seizure prediction: methods;Carney;Epilepsy Behav,2011

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