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Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG
Over the last decade, virtual reality (VR) has become an increasingly accessible commodity. Head-mounted display (HMD) immersive technologies allow researchers to simulate experimental scenarios that would be unfeasible or risky in real life. An example is extreme heights exposure simulations, which...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371026/ https://www.ncbi.nlm.nih.gov/pubmed/35957348 http://dx.doi.org/10.3390/s22155792 |
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author | Aspiotis, Vasileios Miltiadous, Andreas Kalafatakis, Konstantinos Tzimourta, Katerina D. Giannakeas, Nikolaos Tsipouras, Markos G. Peschos, Dimitrios Glavas, Euripidis Tzallas, Alexandros T. |
author_facet | Aspiotis, Vasileios Miltiadous, Andreas Kalafatakis, Konstantinos Tzimourta, Katerina D. Giannakeas, Nikolaos Tsipouras, Markos G. Peschos, Dimitrios Glavas, Euripidis Tzallas, Alexandros T. |
author_sort | Aspiotis, Vasileios |
collection | PubMed |
description | Over the last decade, virtual reality (VR) has become an increasingly accessible commodity. Head-mounted display (HMD) immersive technologies allow researchers to simulate experimental scenarios that would be unfeasible or risky in real life. An example is extreme heights exposure simulations, which can be utilized in research on stress system mobilization. Until recently, electroencephalography (EEG)-related research was focused on mental stress prompted by social or mathematical challenges, with only a few studies employing HMD VR techniques to induce stress. In this study, we combine a state-of-the-art EEG wearable device and an electrocardiography (ECG) sensor with a VR headset to provoke stress in a high-altitude scenarios while monitoring EEG and ECG biomarkers in real time. A robust pipeline for signal clearing is implemented to preprocess the noise-infiltrated (due to movement) EEG data. Statistical and correlation analysis is employed to explore the relationship between these biomarkers with stress. The participant pool is divided into two groups based on their heart rate increase, where statistically important EEG biomarker differences emerged between them. Finally, the occipital-region band power changes and occipital asymmetry alterations were found to be associated with height-related stress and brain activation in beta and gamma bands, which correlates with the results of the self-reported Perceived Stress Scale questionnaire. |
format | Online Article Text |
id | pubmed-9371026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93710262022-08-12 Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG Aspiotis, Vasileios Miltiadous, Andreas Kalafatakis, Konstantinos Tzimourta, Katerina D. Giannakeas, Nikolaos Tsipouras, Markos G. Peschos, Dimitrios Glavas, Euripidis Tzallas, Alexandros T. Sensors (Basel) Article Over the last decade, virtual reality (VR) has become an increasingly accessible commodity. Head-mounted display (HMD) immersive technologies allow researchers to simulate experimental scenarios that would be unfeasible or risky in real life. An example is extreme heights exposure simulations, which can be utilized in research on stress system mobilization. Until recently, electroencephalography (EEG)-related research was focused on mental stress prompted by social or mathematical challenges, with only a few studies employing HMD VR techniques to induce stress. In this study, we combine a state-of-the-art EEG wearable device and an electrocardiography (ECG) sensor with a VR headset to provoke stress in a high-altitude scenarios while monitoring EEG and ECG biomarkers in real time. A robust pipeline for signal clearing is implemented to preprocess the noise-infiltrated (due to movement) EEG data. Statistical and correlation analysis is employed to explore the relationship between these biomarkers with stress. The participant pool is divided into two groups based on their heart rate increase, where statistically important EEG biomarker differences emerged between them. Finally, the occipital-region band power changes and occipital asymmetry alterations were found to be associated with height-related stress and brain activation in beta and gamma bands, which correlates with the results of the self-reported Perceived Stress Scale questionnaire. MDPI 2022-08-03 /pmc/articles/PMC9371026/ /pubmed/35957348 http://dx.doi.org/10.3390/s22155792 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aspiotis, Vasileios Miltiadous, Andreas Kalafatakis, Konstantinos Tzimourta, Katerina D. Giannakeas, Nikolaos Tsipouras, Markos G. Peschos, Dimitrios Glavas, Euripidis Tzallas, Alexandros T. Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title | Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title_full | Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title_fullStr | Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title_full_unstemmed | Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title_short | Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG |
title_sort | assessing electroencephalography as a stress indicator: a vr high-altitude scenario monitored through eeg and ecg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371026/ https://www.ncbi.nlm.nih.gov/pubmed/35957348 http://dx.doi.org/10.3390/s22155792 |
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