Functional connectivity-based EEG features to assist the diagnosis of post-traumatic stress disorder patients-Reference-Cited by-同舟云学术

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Functional connectivity-based EEG features to assist the diagnosis of post-traumatic stress disorder patients

Published:2021-02-22 Issue: Volume: Page:
ISSN:
Container-title:2021 9th International Winter Conference on Brain-Computer Interface (BCI)
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Author:

Shim Miseon,Lee Seung-Hwan,Hwang Han-Jeong

Funder

Institute for Information & Communications Technology Planning & Evaluation (IITP)

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9385268/9385288/09385332.pdf?arnumber=9385332

Cited by 7 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. Archimedes optimization-based Elman Recurrent Neural Network for detection of post-traumatic stress disorder;Biomedical Signal Processing and Control;2024-04

2. Machine-Learning-Based Approaches for Post-Traumatic Stress Disorder Diagnosis Using Video and EEG Sensors: A Review;IEEE Sensors Journal;2023-10-15

3. EEG-based Characterization and Classification of Severity for the Diagnosis of Post-Traumatic Stress Disorder (PTSD);2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART);2023-06-07

4. Heart and brain traumatic stress biomarker analysis with and without machine learning: A scoping review;International Journal of Psychophysiology;2023-03

5. Besuited EEG Signal Analysis for Stress Monitoring Using Bionic Sensor;ICT Infrastructure and Computing;2022-11-08

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