Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals-Reference-Cited by-同舟云学术

Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals

Published:2023-01 Issue: Volume:260 Page:110190
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Tasci Gulay^ORCID,Loh Hui Wen^ORCID,Barua Prabal Datta,Baygin Mehmet,Tasci Burak^ORCID,Dogan Sengul,Tuncer Turker,Palmer Elizabeth Emma,Tan Ru-San^ORCID,Acharya U. Rajendra

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference52 articles.

1. Kaplan & Sadock’s synopsis of psychiatry: Behavioral sciences/clinical psychiatry;Sadock,2007

2. WHO Global Report on Falls Prevention in Older Age;Organization,2008

3. Major depressive disorder;Otte;Nat. Rev. Dis. Primers,2016

4. Cross-national epidemiology of DSM-IV major depressive episode;Bromet;BMC Med.,2011

5. Depression;Malhi;Lancet (London, England),2018

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multilevel hybrid handcrafted feature extraction based depression recognition method using speech;Journal of Affective Disorders;2024-11

2. Optimal segmentation of non-linear and non-stationary time series based on fractal dimension and Poincare section and its application in solving EEG-signal;Applied Soft Computing;2024-11

3. Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern;Diagnostics;2024-09-08

4. Achieving EEG-based depression recognition using Decentralized-Centralized structure;Biomedical Signal Processing and Control;2024-09

5. A novel feature extraction method PSS-CSP for binary motor imagery – based brain-computer interfaces;Computers in Biology and Medicine;2024-07