skip to main content
10.1145/3606305.3606328acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

Creating an extreme 3D game to study the impact of stress on cardiac data

Published:12 September 2023Publication History

ABSTRACT

In the present paper, a new serious extreme 3D game is presented to simulate a stressful situation causing a change in the heart rate of the research subject. With the proposed 3D game, a virtual helmet is used, which enables playing in virtual reality. The helmet is an immersive system; thus, the simulated environment is closer to the real one. An electrocardiographic device was used to determine the change in heart rate as a result of the simulated stress, and the resulting electrocardiogram (ECG) was examined using spectral analysis. Resting subjects were studied, and the data obtained from the analysis were compared to those obtained during 3D gaming. The results of the comparative spectral analysis show that with the extreme 3D game, the heart rate of the research subjects changes. This way of simulating stress is suitable for researching people who cannot undergo active physical exertion due to various health reasons.

Skip Supplemental Material Section

Supplemental Material

References

  1. Patil K., Singh M., Singh G., Anjali, Sharma N. 2015. Mental Stress Evaluation using Heart Rate Variability Analysis: a Review, International Journal of Public Mental Health and Neurosciences, Vol. 2, Iss. 1, ISSN: 2394-4668, http://www.sarvasumana.in/files/13.pdf.Google ScholarGoogle Scholar
  2. Dong, S.Y., Lee, M., Park, H., Youn, I. 2018. Stress resilience measurement with heart-rate variability during mental and physical stress. In Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, pp. 5290–5293.Google ScholarGoogle ScholarCross RefCross Ref
  3. Lee, S., Hwang, H.B., Park, S., Kim, S., Ha, J.H., Jang, Y., Hwang S., Park, H.-K., Lee, J., Kim, I.Y. 2022. Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method, Biosensors, 12, 465. https://doi.org/10.3390/bios12070465Google ScholarGoogle ScholarCross RefCross Ref
  4. Held, J., Vîslă, A., Wolfer, C. Heart rate variability change during a stressful cognitive task in individuals with anxiety and control participants. BMC Psychol 9, 44 (2021). https://doi.org/10.1186/s40359-021-00551-4Google ScholarGoogle ScholarCross RefCross Ref
  5. Martinez GJ, Grover T, Mattingly SM, Mark G, D'Mello S, Aledavood T, Akbar F, Robles-Granda P, Striegel A Alignment Between Heart Rate Variability From Fitness Trackers and Perceived Stress: Perspectives From a Large-Scale In Situ Longitudinal Study of Information Workers JMIR Hum Factors 2022;9(3):e33754 doi: 10.2196/33754Google ScholarGoogle ScholarCross RefCross Ref
  6. C. Chen, C. Li, C. -W. Tsai and X. Deng, "Evaluation of Mental Stress and Heart Rate Variability Derived from Wrist-Based Photoplethysmography," 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), Okinawa, Japan, 2019, pp. 65-68, https://doi.org/10.1109/ECBIOS.2019.8807835Google ScholarGoogle ScholarCross RefCross Ref
  7. Schiweck, C., Piette, D., Berckmans, D., Claes, S., & Vrieze, E. (2019). Heart rate and high frequency heart rate variability during stress as biomarker for clinical depression. A systematic review. Psychological Medicine, 49(2), 200-211. https://doi.org/10.1017/S0033291718001988Google ScholarGoogle ScholarCross RefCross Ref
  8. Pandey, K. R., Khadka, R., Panday, D. R., Agrawal, K., & Paudel, B. H. (2020). Influence of acute mental stress on blood pressure, heart rate and heart rate variability in male medical students: An experimental study from tertiary care hospital, Nepal. Journal of Biomedical Sciences, 7(1), 11–17. https://doi.org/10.3126/jbs.v7i1.29848Google ScholarGoogle ScholarCross RefCross Ref
  9. Marchev, S. 1998. Heart rate variability – standards of measurement, Cardiovascular disease. Vol. 1, pp. 28-35 (in Bulgarian).Google ScholarGoogle Scholar
  10. Rajendra, U.R., Suri, J.S., Spaan, J.A.E., Krishnan, S.M. 2007. Advances in Cardiac Signal Processing, Springer.Google ScholarGoogle Scholar
  11. Ernst,G. 2014. Heart Rate Variability”, Springer – Verlag London.Google ScholarGoogle Scholar
  12. Kumar, D.M., Prasannakumar, S.C., Jayadevappa,D. 2013. Heart Rate Variability Analysis: A review. International Journal of Advanced Technology in Engineering and Science, No. 6, 9-24.Google ScholarGoogle Scholar
  13. Chun-Ju Hou, Yen-Ting Chen , Mycel Capilayan, Yu-Sian Lin, Min-Wei Huang and Ji-Jer Huang. 2021. Analysis of Heart Rate Variability in response to serious games in elderly people. https://doi.org/10.3390/s21196549Google ScholarGoogle ScholarCross RefCross Ref
  14. Kim, J.-Y., Kim, H.-S., Kim,D.-J., Im, S.-K., Kim, M.-S. 2021. Indetification of video game addiction using Heart Rate Variability Parameters, https://doi.org/10.3390/s21144683Google ScholarGoogle ScholarCross RefCross Ref
  15. Malik, M. 1996. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation, 93:1043-1065. Retrieved from https://doi.org/10.1161/01.CIR.93.5.1043Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Creating an extreme 3D game to study the impact of stress on cardiac data

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          CompSysTech '23: Proceedings of the 24th International Conference on Computer Systems and Technologies
          June 2023
          201 pages
          ISBN:9798400700477
          DOI:10.1145/3606305

          Copyright © 2023 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 September 2023

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed limited

          Acceptance Rates

          Overall Acceptance Rate241of492submissions,49%
        • Article Metrics

          • Downloads (Last 12 months)13
          • Downloads (Last 6 weeks)1

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format