Not one size fits all: Influence of EEG type when training a deep neural network for interictal epileptiform discharge detection-Reference-Cited by-同舟云学术

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Not one size fits all: Influence of EEG type when training a deep neural network for interictal epileptiform discharge detection

Published:2023 Issue: Volume:41 Page:101318
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

da Silva Lourenço Catarina^ORCID,Tjepkema-Cloostermans Marleen C.,van Putten Michel J.A.M.

Publisher

Elsevier BV

Subject

Health Informatics

Reference42 articles.

1. Interictal EEG and the diagnosis of epilepsy;Pillai;Epilepsia,2006

2. Clinical utility of EEG in diagnosing and monitoring epilepsy in adults;Tatum;Clin Neurophysiol,2018

3. Mobile EEG in epilepsy;Askamp;Int J Psychophysiol : Offic J Int Org Psychophysiol,2014

4. Detecting interictal discharges in first seizure patients: ambulatory EEG or EEG after sleep deprivation?;Geut;Seizure,2017

5. Continuous EEG monitoring: a survey of neurophysiologists and neurointensivists;Gavvala;Epilepsia,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transfer Learning for the Identification of Paediatric EEGs With Interictal Epileptiform Abnormalities;IEEE Access;2024

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