Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG-Reference-Cited by-同舟云学术

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Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG

Published:2022-01 Issue: Volume:213 Page:106542
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

You Sungmin,Hwan Cho Baek,Shon Young-Min,Seo Dae-Won,Kim In Young

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference56 articles.

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2. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010;Murray;Lancet,2012

3. ILAE Official Report: a practical clinical definition of epilepsy;Fisher;Epilepsia,2014

4. A European survey on current practices in epilepsy monitoring units and implications for patients’ safety;Rubboli;Epilepsy Behav,2015

5. Risk of adverse events on epilepsy monitoring units: a survey of epilepsy professionals;Shafer;Epilepsy Behav,2011

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