Convolutional neural network-based fast seizure detection from video electroencephalograms-Reference-Cited by-同舟云学术

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Convolutional neural network-based fast seizure detection from video electroencephalograms

Published:2023-02 Issue: Volume:80 Page:104380
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Chou Chi-Hsiang,Shen Tsu-Wang,Tung Hsin,Hsieh Peiyuan F.,Kuo Chih-En,Chen Ting-Mao,Yang Chao-Wei

Funder

MOST

Taichung Veterans General Hospital

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference33 articles.

1. Factors related to the occurrence of typical paroxysmal abnormalities in the EEG records of epileptic patients;Marsan;Epilepsia,1970

2. Effectiveness of multiple EEGs in supporting the diagnosis of epilepsy: an operational curve;Salinsky;Epilepsia,1987

3. Occurrence of epileptiform activity in the routine EEG of epileptic patients;Doppelbauer;Acta Neurol. Scand.,1993

4. Yield of epileptiform electroencephalogram abnormalities in incident unprovoked seizures: a population-based study;Baldin;Epilepsia,2014

5. Routine vs extended outpatient EEG for the detection of interictal epileptiform discharges;Burkholder;Neurology,2016

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2. Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review;Artificial Intelligence Review;2024-06-21

3. Graphical Insight: Revolutionizing Seizure Detection with EEG Representation;Biomedicines;2024-06-10

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5. Parallel Ictal-Net, a Parallel CNN Architecture with Efficient Channel Attention for Seizure Detection;Sensors;2024-01-23

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