Automated ASD detection using hybrid deep lightweight features extracted from EEG signals-Reference-Cited by-同舟云学术

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Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

Published:2021-07 Issue: Volume:134 Page:104548
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Baygin Mehmet,Dogan Sengul,Tuncer Turker,Datta Barua Prabal,Faust Oliver,Arunkumar N.,Abdulhay Enas W.,Emma Palmer Elizabeth,Rajendra Acharya U.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference73 articles.

1. Automated diagnosis of autism: in search of a mathematical marker;Bhat;Rev. Neurosci.,2014

2. Autism: cause factors, early diagnosis and therapies;Bhat;Rev. Neurosci.,2014

3. Diagnostic and Statistical Manual of Mental Disorders;Dilip,2013

4. EEG-based multi-feature fusion assessment for autism;Kang;J. Clin. Neurosci.,2018

5. Outcome of comprehensive psycho-educational interventions for young children with autism;Eikeseth;Res. Dev. Disabil.,2009

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