Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning-Reference-Cited by-同舟云学术

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Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning

Published:2022 Issue: Volume:10 Page:73804-73817
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rafiei Alireza¹^ORCID,Zahedifar Rasoul²^ORCID,Sitaula Chiranjibi³^ORCID,Marzbanrad Faezeh³^ORCID

Affiliation:

1. Department of Mechatronics Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

2. Department of Mechanical Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran

3. Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09828387.pdf?arnumber=9828387

Reference51 articles.

1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

2. Real-time neuroimaging and cognitive monitoring using wearable dry EEG

3. Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

4. Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder

5. Automated major depressive disorder detection using melamine pattern with EEG signals

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2. EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals;IEEE Journal of Biomedical and Health Informatics;2024-09

3. Meta-learning in Healthcare: A Survey;SN Computer Science;2024-08-12

4. Electrode subset selection to lessen the complexity of brain activity measurement using EEG for depression detection;Transactions of the Institute of Measurement and Control;2024-07-26

5. Major Depressive Disorder Detection Using Effective Connectivity of EEG Signals and Deep Learning Transformer Model;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

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