Skip to main content

Investigation on the Dependencies Between HRV, Physical Training, and Focus of Attention in Virtual Environment

  • Conference paper
  • First Online:
Information and Software Technologies (ICIST 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1078))

Included in the following conference series:

  • 950 Accesses

Abstract

In this study we investigate the dependencies between human focus of attention and heart rate variability while performing concentration task in virtual environment, using attention improvement device, and taking into account daily physical activity of the participants. For this purpose, a virtual testing environment – football arena – was developed. A volunteer had to “kick” a ball to the gate. He scores a goal if he has reached high attention focus level. The experiments were performed using NeuroSky device for attention level recording, Polar V800 device for heart rate (RR intervals) recording and ElfEmmit device as a better focus stimulator. At the same time, some virtual environment parameters and human action in it were recorded as well. We have used RMSSD parameter as heart rate variability measure. The results showed some unexpected tendencies. RMSSD parameter was in normal range and outside it for both: volunteers who have regular trainings and who do not have any training at all. A tendency was noticed that ElfEmmit device might increase focus of attention during virtual reality game.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ablonskytė-Dūdonienė, R.: Širdies ritmo variabilumo ir hemodinamikos žymenų vertė prognozuojant ūminio miokardo infarkto eigą ir baigtis sergantiesiems cukriniu diabetu. Ph.D. dissertation, Biomedicine sciences (2014). https://publications.lsmuni.lt/object/elaba:2199280/2199280.pdf

  2. The science and application of heart rate variability. https://hrvcourse.com/heart-rate-variability-vs-heart-rate. Accessed 05 Apr 2018

  3. Techo.lt homepage. http://techo.lt/sirdies-ritmo-variabilumas-budas-kasdieniam-stresui-sekti. Accessed 05 Apr 2018

  4. Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Front. Public Health 5, 258 (2017)

    Article  Google Scholar 

  5. Esco, M.R., Williford, H.N., Flatt, A.A., Freeborn, T.J., Nakamura, F.Y.: Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance. Eur. J. Appl. Physiol. 118, 175–184 (2018)

    Article  Google Scholar 

  6. Rad, A.M., Ryoo, H.C., Akin, A., Sun, H.H.: Classification of Heart Rate Variability (HRV) parameters by Receiver Operating Characteristics (ROC). In: Proceedings of the IEEE 28th Annual Northeast Bioengineering Conference (2002)

    Google Scholar 

  7. Heart rate variability and hear rate comparison. http://www.ans-analysis.com/hrv/hrv-measuring-parameter.html. Accessed 05 Apr 2019

  8. Vollmer, M.: A robust, simple and reliable measure of Heart Rate Variability using relative RR intervals. In: Computing in Cardiology Conference (CinC) (2015)

    Google Scholar 

  9. Malik, M., et al.: Guidelines. Heart rate variability, Standards of measurement, physiological interpretation, and clinical use. Eur. Heart J. 17, 354–381 (1996)

    Article  Google Scholar 

  10. Norms of HRV parameter. https://www.hrv4training.com/blog/heart-rate-variability-normal-values. Accessed 05 Apr 2019

  11. RMSSD parameter description. https://www.biopac.com/application/ecg-cardiology/advanced-feature/rmssd-for-hrv-analysis. Accessed 05 Apr 2019

  12. DeGiorgio, C.M., et al.: RMSSD, a measure of heart rate variability, is associated with risk factors for SUDEP: the SUDEP-7 inventory. Epilepsy Behav. 19(1), 78–81 (2010)

    Article  Google Scholar 

  13. Wang, H.-M., Huang, S.-C.: SDNN/RMSSD as a surrogate for LF/HF: a revised investigation. Model. Simul. Eng. 2012, 8 p. (2012). Article ID 931943

    Google Scholar 

  14. Trimmel, M.: Relationship of Heart Rate Variability (HRV) parameters including pNNxx with the subjective experience of stress, depression, well-being, and every-day trait moods (TRIM-T): a pilot study. Ergon. Open J. 8, 32–37 (2015)

    Article  Google Scholar 

  15. www.gtec.at research presentation: Heart Rate Variability (2004). http://www0.cs.ucl.ac.uk/research/vr/Projects/Presencia/ConsortiumPublications/graz_papers/HRVanalysis.pdf. Accessed 05 Apr 2019

  16. Coxa, E.P., et al.: Relationship between physical activity and cognitive function in apparently healthy young to middle-aged adults: a systematic review. J. Sci. Med. Sport 19, 616–628 (2016)

    Article  Google Scholar 

  17. Ohrnberger, J., Ficher, E., Sutton, M.: The relationship between physical and mental health: a mediation analysis. Soc. Sci. Med. 195, 42–49 (2017)

    Article  Google Scholar 

  18. Giles, D., Draper, N., Neil, W.: Validity of the Polar V800 heart rate monitor to measure RR intervals at rest. Eur. J. Appl. Physiol. 116, 563–571 (2016)

    Article  Google Scholar 

  19. Polar V800 specification. www.polar.com. Accessed 05 Apr 2019

  20. Neurosky Mindwave specification. https://store.neurosky.com/pages/mindwave. Accessed 05 Apr 2019

  21. Brain Wave Signal (EEG) of NeuroSky, Inc. (2009). http://www.frontiernerds.com/files/neurosky-vs-medical-eeg.pdf. Accessed 05 Apr 2019

  22. Maskeliunas, R., et al.: Consumer-grade EEG devices: are they usable for control tasks? PeerJ (3) (2016). https://doi.org/10.7717/peerj.1746

    Article  Google Scholar 

Download references

Acknowledgements

We thank UAB “De Futuro” and Ph.D. Gintaras Rimša for cooperation. Research was partially funded by Lithuanian Agency for Science, Innovation and Technology (01.2.1-MITA-K-824-01-0067-S).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aušra Vidugirienė .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ščiglinskas, E., Mačiukas, A., Vidugirienė, A., Krilavičius, T. (2019). Investigation on the Dependencies Between HRV, Physical Training, and Focus of Attention in Virtual Environment. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2019. Communications in Computer and Information Science, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-30275-7_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-30275-7_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30274-0

  • Online ISBN: 978-3-030-30275-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics