Information dynamics in cardiorespiratory time series during mental stress testing

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

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-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.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages23-24
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: 25 May 201428 May 2014

Publication series

Name2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014

Conference

Conference2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Country/TerritoryItaly
CityTrento
Period25/05/1428/05/14

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