Investigation of the Effect of eSport on HRV Signal by Using Poincar? Plot Analysis

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Gündoğdu S., Çolak Ö. H., Polat Ö.

TRAITEMENT DU SIGNAL, vol.39, no.2, pp.589-594, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 39 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.18280/ts.390220
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Business Source Elite, Business Source Premier, Compendex, zbMATH
  • Page Numbers: pp.589-594
  • Keywords: heart rate variability Poincar? plot, eSport, Poincar? plot analysis, HEART-RATE-VARIABILITY, SYMPATHOVAGAL BALANCE
  • Dokuz Eylül University Affiliated: Yes


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 Poincar?? plot descriptors with standard HRV measures derived from time-and frequency-domain methods. In addition, the correlations between the descriptors of the Poincar?? plot 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.