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.
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References
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
The science and application of heart rate variability. https://hrvcourse.com/heart-rate-variability-vs-heart-rate. Accessed 05 Apr 2018
Techo.lt homepage. http://techo.lt/sirdies-ritmo-variabilumas-budas-kasdieniam-stresui-sekti. Accessed 05 Apr 2018
Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Front. Public Health 5, 258 (2017)
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)
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)
Heart rate variability and hear rate comparison. http://www.ans-analysis.com/hrv/hrv-measuring-parameter.html. Accessed 05 Apr 2019
Vollmer, M.: A robust, simple and reliable measure of Heart Rate Variability using relative RR intervals. In: Computing in Cardiology Conference (CinC) (2015)
Malik, M., et al.: Guidelines. Heart rate variability, Standards of measurement, physiological interpretation, and clinical use. Eur. Heart J. 17, 354–381 (1996)
Norms of HRV parameter. https://www.hrv4training.com/blog/heart-rate-variability-normal-values. Accessed 05 Apr 2019
RMSSD parameter description. https://www.biopac.com/application/ecg-cardiology/advanced-feature/rmssd-for-hrv-analysis. Accessed 05 Apr 2019
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)
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
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)
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
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)
Ohrnberger, J., Ficher, E., Sutton, M.: The relationship between physical and mental health: a mediation analysis. Soc. Sci. Med. 195, 42–49 (2017)
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)
Polar V800 specification. www.polar.com. Accessed 05 Apr 2019
Neurosky Mindwave specification. https://store.neurosky.com/pages/mindwave. Accessed 05 Apr 2019
Brain Wave Signal (EEG) of NeuroSky, Inc. (2009). http://www.frontiernerds.com/files/neurosky-vs-medical-eeg.pdf. Accessed 05 Apr 2019
Maskeliunas, R., et al.: Consumer-grade EEG devices: are they usable for control tasks? PeerJ (3) (2016). https://doi.org/10.7717/peerj.1746
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).
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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
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DOI: https://doi.org/10.1007/978-3-030-30275-7_41
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