In this work, in order to determination of effect of a puzzle video game on HRV (Heart rate variability) signal, Poincare plot analysis is used. The linear and nonlinear dynamics of HRV were evaluated using HRV recordings obtained from each player at the time of play and rest. For this purpose, we have correlated the Poincaréplot descriptors with standard HRV measures derived from time- and frequency-domain methods. In addition, the correlations between the descriptors of the Poincaréplot along with the frequency and time domain measures of HRV have evaluated for the game stage. Statistically significant values were observed in eSport players in gaming and during resting. The obtained results show that play and rest can be separated by using the features obtained from the Poincare plot.
CITATION STYLE
Gündoğdu, S., Çolak, Ö. H., & Polat, Ö. (2022). Investigation of the Effect of eSport on HRV Signal by Using PoincaréPlot Analysis. Traitement Du Signal, 39(2), 589–594. https://doi.org/10.18280/ts.390220
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