Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Optimization of PTSD disorder detection based on nonlinear dynamic analysis of electroencephalogram signals

(2019) Optimization of PTSD disorder detection based on nonlinear dynamic analysis of electroencephalogram signals. Revista Latinoamericana De Hipertension. pp. 320-324. ISSN 18564550 (ISSN)

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Abstract

Objective: Post-traumatic stress disorder (PTSD) is an emotional disorder. This paper aimed to examine the entropy values in patients with PTSD disorder. Methods: The entropy values of 31 EEG channels of 12 subjects (six healthy subjects and six patients with PTSD disorder) with two entropy methods (sample entropy and fuzzy entropy) were calculated. Results: The sample entropy of channels FP1, FP2 and FC6 and fuzzy entropy of channel FC6 were increased in PTSD group and had the highest difference in compare to healthy group. In addition, sample entropy method showed superiority in compare to fuzzy entropy for PTSD recognition problems. Conclusion: Compared to normal group, patients with PTSD disorder were found to have average increased entropy values. Results showed that EEG signals of subjects with PTSD disorder had higher irregularity due to entropy increments. This entropy increment is more obvious in frontal lobe of the brain which related to emotional experiences. © 2019 Revista Latinoamericana de Hipertension. All rights reserved.

Item Type: Article
Keywords: EEG PTSD Article clinical article comparative study controlled study electroencephalogram entropy fuzzy system human mathematical analysis nonlinear system posttraumatic stress disorder process optimization
Divisions:
Page Range: pp. 320-324
Journal or Publication Title: Revista Latinoamericana De Hipertension
Journal Index: Scopus
Volume: 14
Number: 3
ISSN: 18564550 (ISSN)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/528

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