Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers-Reference-Cited by-同舟云学术

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Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers

Published:2023 Issue: Volume:11 Page:57880-57894
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Garg Shreeya¹,Shukla Urvashi Prakash²,Cenkeramaddi Linga Reddy³^ORCID

Affiliation:

1. Department of Electronics, Banasthali Vidyapith, Radha Kishanpura, India

2. Department of Computer Science, Banasthali Vidyapith, Radha Kishanpura, India

3. Department of Information and Communication Technology, University of Agder, Grimstad, Norway

Funder

Norges Forskningsr?d

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/ielx7/6287639/10005208/10138579.pdf?arnumber=10138579

Reference48 articles.

1. A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals

2. The five percent electrode system for high-resolution EEG and ERP measurements

3. Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)

4. Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey

5. Fractality analysis of frontal brain in major depressive disorder

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