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, cilt.39, sa.2, ss.589-594, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.18280/ts.390220
  • Dergi Adı: TRAITEMENT DU SIGNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Business Source Elite, Business Source Premier, Compendex, zbMATH
  • Sayfa Sayıları: ss.589-594
  • Anahtar Kelimeler: heart rate variability Poincar? plot, eSport, Poincar? plot analysis, HEART-RATE-VARIABILITY, SYMPATHOVAGAL BALANCE
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.