Spectral Analysis of the EEG of Subjects with Anxious-Phobic Disorders in a Virtual Reality Environment
At the present stage of development of information technology, virtual reality is widely used in various areas of human life, including for assessing the psychoemotional state of health. Spectral analysis of maximal EEG power in diff erent frequency ranges may allow markers for anxious-phobic disord...
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| Published in | Biomedical engineering Vol. 56; no. 6; pp. 429 - 434 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
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New York
Springer US
01.03.2023
Springer Springer Nature B.V |
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| Abstract | At the present stage of development of information technology, virtual reality is widely used in various areas of human life, including for assessing the psychoemotional state of health. Spectral analysis of maximal EEG power in diff erent frequency ranges may allow markers for anxious-phobic disorders to be identifi ed. This report describes an experiment carried out to assess the psychoemotional state of people with acrophobia in various states: at rest, being in a virtual reality helmet, and on exposure to a stressful stimulus (at a height in a virtual reality scene). Plots of the maximum power distribution density in individual EEG frequency bands are given. The values obtained can be used as criteria for assessing phobic anxiety disorders using virtual reality technology. |
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| AbstractList | At the present stage of development of information technology, virtual reality is widely used in various areas of human life, including for assessing the psychoemotional state of health. Spectral analysis of maximal EEG power in diff erent frequency ranges may allow markers for anxious-phobic disorders to be identifi ed. This report describes an experiment carried out to assess the psychoemotional state of people with acrophobia in various states: at rest, being in a virtual reality helmet, and on exposure to a stressful stimulus (at a height in a virtual reality scene). Plots of the maximum power distribution density in individual EEG frequency bands are given. The values obtained can be used as criteria for assessing phobic anxiety disorders using virtual reality technology. At the present stage of development of information technology, virtual reality is widely used in various areas of human life, including for assessing the psychoemotional state of health. Spectral analysis of maximal EEG power in different frequency ranges may allow markers for anxious-phobic disorders to be identified. This report describes an experiment carried out to assess the psychoemotional state of people with acrophobia in various states: at rest, being in a virtual reality helmet, and on exposure to a stressful stimulus (at a height in a virtual reality scene). Plots of the maximum power distribution density in individual EEG frequency bands are given. The values obtained can be used as criteria for assessing phobic anxiety disorders using virtual reality technology. |
| Audience | Academic |
| Author | Gorbunov, V. N. Churakov, P. P. Yuldashev, Z. M. Alimuradov, A. K. Bofonova, N. S. Tychkov, A. Yu Chernyshov, D. S. Zolotarev, R. V. |
| Author_xml | – sequence: 1 givenname: A. Yu surname: Tychkov fullname: Tychkov, A. Yu email: tychkov-a@mail.ru organization: Department of Radiotechnology and Radioelectronic Systems, Penza State University – sequence: 2 givenname: D. S. surname: Chernyshov fullname: Chernyshov, D. S. organization: Department of Radiotechnology and Radioelectronic Systems, Penza State University – sequence: 3 givenname: N. S. surname: Bofonova fullname: Bofonova, N. S. organization: Department of Neurology, Neurosurgery, and Psychiatry, Penza State University – sequence: 4 givenname: P. P. surname: Churakov fullname: Churakov, P. P. organization: Department of Information-Measuring Equipment and Metrology, Penza State University – sequence: 5 givenname: Z. M. surname: Yuldashev fullname: Yuldashev, Z. M. organization: Department of Biotechnical Systems, St. Petersburg State V. I. Ul’yanov (Lenin) Electrotechnical University (LETI) – sequence: 6 givenname: V. N. surname: Gorbunov fullname: Gorbunov, V. N. organization: Technology Transfer Center, Penza State University – sequence: 7 givenname: R. V. surname: Zolotarev fullname: Zolotarev, R. V. organization: Department of Radiotechnology and Radioelectronic Systems, Penza State University – sequence: 8 givenname: A. K. surname: Alimuradov fullname: Alimuradov, A. K. organization: Student Research and Production Business Incubator, Penza State University |
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| Cites_doi | 10.3389/fneur.2019.00874 10.34014/2227-1848-2020-4-19-29 10.1109/DCNA53427.2021.9587127 10.17116/pain20211902133 10.1109/TITB.2002.802374 10.1007/s11920-017-0788-4 |
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| SubjectTerms | Agoraphobia Analysis Anxiety disorders Biomaterials Biomedical and Life Sciences Biomedicine Computer applications Disorders Emotions Engineering Experiments Fear & phobias Forecasts and trends Frequencies Frequency ranges Information technology Maximum power Medical research Medicine, Experimental Personal computers Phobias Physiology Research methodology Spectrum analysis Virtual reality |
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| Title | Spectral Analysis of the EEG of Subjects with Anxious-Phobic Disorders in a Virtual Reality Environment |
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