6533b834fe1ef96bd129ce73

RESEARCH PRODUCT

Information dynamics in cardiorespiratory time series during mental stress testing

Devy WidjajaDaniele MarinazzoSabine Van HuffelElke VlemincxAlessandro MontaltoLuca Faes

subject

Series (mathematics)Mental stressSpeech recognitionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBiomedical EngineeringCardiorespiratory fitnessInformation dynamicsMathematicsCognitive psychology

description

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.

yearjournalcountryeditionlanguage
2014-05-01
10.1109/esgco.2014.6847500http://hdl.handle.net/10447/276587