Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study-Reference-Cited by-同舟云学术

Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study

Published:2021-03-27 Issue: Volume: Page:
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Rivera Manuel J.,Teruel Miguel A.^ORCID,Maté Alejandro,Trujillo Juan

Funder

Ministerio de Ciencia, Innovación y Universidades

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-021-09986-y.pdf

Reference122 articles.

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2. Acharya UR et al (2012) Automated diagnosis of normal and alcoholic EEG signals. Int J Neural Syst. https://doi.org/10.1142/S0129065712500116

3. Acharya UR et al (2018a) Automated EEG-based screening of depression using deep convolutional neural network. Comput Methods Program Biomed 161:103–113. https://doi.org/10.1016/j.cmpb.2018.04.012

4. Acharya UR et al (2018b) Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput Biol Med 100:270–278. https://doi.org/10.1016/j.compbiomed.2017.09.017

5. Ali NA et al (2020) Autism spectrum disorder classification on electroencephalogram signal using deep learning algorithm. IAES Int J Artific Intell 9(1):91–99

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