Information dynamics in cardiorespiratory time series during mental stress testing

Luca Faes, Daniele Marinazzo, Elke Vlemincx, Luca Faes, Devy Widjaja, Alessandro Montalto, Sabine Van Huffel

Risultato della ricerca: Otherpeer review

Abstract

In this study, we assessed the information dynamics of respiration and heart rate variability during mental stress testing by means of the cross-entropy, a measure of cardiorespiratory coupling, and the self-entropy of the tachogram conditioned to the knowledge of respiration. Although stress is related to a reduction in vagal activity, no difference in cardiorespiratory coupling was found when 5 minutes of rest and stress were compared. The conditional self-entropy, on the other hand, showed significantly higher values during stress, indicating a higher predictability of the tachogram. These results show that entropy analyses of cardiorespiratory data reveal new information that could not be obtained with traditional heart rate variability studies. © 2014 IEEE.
Lingua originaleEnglish
Pagine23-24
Numero di pagine2
Stato di pubblicazionePublished - 2014

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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