Article 10421

Title of the article

VR IMPLEMENTATION FOR CONTROL AND CORRECT PHOBIC ANXIETY DISORDERS 

Authors

Alexander Yu. Tychkov, Doctor of technical sciences, professor of the sub-department of radioengineering and radioelectronic systems, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: tychkov-a@mail.ru
Denis S. Chernyshov, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: deniska_1980_13@mail.ru
Natalia S. Bofanova, Candidate of medical sciences, associate professor of the sub-department of neurology, neurosurgery and psychiatry, Penza State University (40 Krasnaya street, Penza, Russia), E-mail:box5887@mail.ru
Alan K. Alimuradov, Candidate of technical sciences, director of the business incubator of research institute for fundamental and applied research, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: alansapfir@yandex.ru
Dmitry L. Ovchinnikov, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: dmitry_ovch@mail.ru
Alexander M. Sotnikov, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: sanchess2015@yandex.ru 

Index UDK

004.946 

DOI

10.21685/2307-5538-2021-4-10 

Abstract

Background. Virtual reality (VR) is widely used in medical devices, including the assessment and correction of phobic anxiety disorders. The paper proposes an original technique for controlling and correcting phobic disorders from practical reality. Materials and methods. The paper provides a review and critical analysis of the methods and means for assessing anxiety-phobic disorders through the registration and digital processing of physiological signals, as well as the adaptation of various scenes of virtual reality to the current state of the user. Results and Conclusions. The article presents a methodology for studying phobic anxiety disorders in the VR environment, which makes it possible to adapt VR scenes for a specific user, taking into account his individual characteristics and behavior parameters. Adaptation of VR scenes is carried out by selecting the optimal set of hidden signal patterns recorded on the ECG and EEG signals. 

Key words

virtual reality, phobic disorders, digital space 

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Дата создания: 11.01.2022 13:30
Дата обновления: 11.01.2022 14:38