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dc.contributor.authorChen, Zhe
dc.contributor.authorPurdon, Patrick Lee
dc.contributor.authorBrown, Emery Neal
dc.contributor.authorBarbieri, Riccardo
dc.date.accessioned2012-08-03T18:26:24Z
dc.date.issued2012
dc.identifier.citationChen, Zhe, Patrick L. Purdon, Emery N. Brown, and Riccardo Barbieri. 2012. A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control. Frontiers in Physiology 3: 4.en_US
dc.identifier.issn1664-042Xen_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:9366538
dc.description.abstractIn recent years, time-varying inhomogeneous point process models have been introduced for assessment of instantaneous heartbeat dynamics as well as specific cardiovascular control mechanisms and hemodynamics. Assessment of the model’s statistics is established through the Wiener-Volterra theory and a multivariate autoregressive (AR) structure. A variety of instantaneous cardiovascular metrics, such as heart rate (HR), heart rate variability (HRV), respiratory sinus arrhythmia (RSA), and baroreceptor-cardiac reflex (baroreflex) sensitivity (BRS), are derived within a parametric framework and instantaneously updated with adaptive and local maximum likelihood estimation algorithms. Inclusion of second-order non-linearities, with subsequent bispectral quantification in the frequency domain, further allows for definition of instantaneous metrics of non-linearity. We here present a comprehensive review of the devised methods as applied to experimental recordings from healthy subjects during propofol anesthesia. Collective results reveal interesting dynamic trends across the different pharmacological interventions operated within each anesthesia session, confirming the ability of the algorithm to track important changes in cardiorespiratory elicited interactions, and pointing at our mathematical approach as a promising monitoring tool for an accurate, non-invasive assessment in clinical practice. We also discuss the limitations and other alternative modeling strategies of our point process approach.en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Research Foundationen_US
dc.relation.isversionofdoi:10.3389/fphys.2012.00004en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269663/pdf/en_US
dash.licenseLAA
dc.subjectautonomic cardiovascular controlen_US
dc.subjectheart rate variabilityen_US
dc.subjectbaroreflex sensitivityen_US
dc.subjectrespiratory sinus arrhythmiaen_US
dc.subjectpoint processen_US
dc.subjectWiener-Volterra expansionen_US
dc.subjectgeneral anesthesiaen_US
dc.titleA Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Controlen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalFrontiers in Physiologyen_US
dash.depositing.authorPurdon, Patrick Lee
dc.date.available2012-08-03T18:26:24Z
dc.identifier.doi10.3389/fphys.2012.00004*
dash.contributor.affiliatedChen, Zhe
dash.contributor.affiliatedBarbieri, Riccardo
dash.contributor.affiliatedBrown, Emery
dash.contributor.affiliatedPurdon, Patrick


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