EEG-based Characterization and Classification of Severity for the Diagnosis of Post-Traumatic Stress Disorder (PTSD)-Reference-Cited by-同舟云学术

EEG-based Characterization and Classification of Severity for the Diagnosis of Post-Traumatic Stress Disorder (PTSD)

Published:2023-06-07 Issue: Volume: Page:
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Container-title:2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART)
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Author:

Cruz Jovan Adrien¹,Marquez Julian Carlos¹,Mendoza Andre Mihkael¹,Reyes Jerome Ivan¹,Tango Van Cygnon¹,Prado Seigfred V.¹

Affiliation:

1. University of Santo Tomas,Faculty of Engineering,Department of Electronics Engineering,Manila,Philippines,1008

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10161992/10161994/10162084.pdf?arnumber=10162084

Reference38 articles.

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4. Characterization of eeg signal patterns during visual imageries of basic structures for the development of brain-computer typing interface for locked-in syndrome patients;nieles;2018 IEEE 10th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM),2019

5. Eeglab – an Open Source Matlab Toolbox for Electrophysiological Research

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