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dc.contributor.authorKnai, Kathrine
dc.contributor.authorAadahl, Petter
dc.contributor.authorSkjærvold, Nils Kristian
dc.date.accessioned2021-04-26T12:02:27Z
dc.date.available2021-04-26T12:02:27Z
dc.date.created2020-06-09T14:24:55Z
dc.date.issued2020
dc.identifier.citationPhysiological Reports. 2020, 8 (9), e14423-e14423.en_US
dc.identifier.issn2051-817X
dc.identifier.urihttps://hdl.handle.net/11250/2739611
dc.description.abstractThe circulatory system is oscillatory in its nature. Oscillatory components linked to physiological processes and underlying regulatory mechanisms are identifiable in circulatory signals. Autonomic regulation is essential for the system's ability to deal with external exposure, and the integrity of oscillations may be considered a hallmark of a healthy system. Loss of complexity is seen as a consequence of several diseases and aging. Heart rate variability is known to decrease after cardiac surgery and remain reduced for up to 6 months. Oscillatory components of circulatory signals are linked to the system's overall complexity. We therefore hypothesize that the frequency distributions of circulatory signals show loss of oscillatory components after cardiac surgery and that the observed changes persist. We investigated the development of the circulatory frequency distributions of eight patients undergoing cardiac surgery by extracting three time series from conventional blood pressure and electrocardiography recordings: systolic blood pressure, heart rate, and amplitude of the electrocardiogram's R‐wave. Four 30‐min selections, representing key events of the perioperative course, were analyzed with the continuous wavelet transform, and average wavelet power spectra illustrated the circulatory frequency distributions. We identified oscillatory components in all patients and variables. Contrary to our hypothesis, they were randomly distributed through frequencies, patients, and situations, thus, not representing any reduction in the overall complexity. One patient showed loss of a 25‐s oscillation after surgery. We present a case where noise is misclassified as an oscillation, raising questions about the robustness of such analyses.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCardiac surgery does not lead to loss of oscillatory components in circulatory signalsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumbere14423-e14423en_US
dc.source.volume8en_US
dc.source.journalPhysiological Reportsen_US
dc.source.issue9en_US
dc.identifier.doi10.14814/phy2.14423
dc.identifier.cristin1814582
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal