A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control
In 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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2012-02-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00004/full |
| _version_ | 1828357256915189760 |
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| author | Zhe eChen Patrick ePurdon Emery N Brown Riccardo eBarbieri |
| author_facet | Zhe eChen Patrick ePurdon Emery N Brown Riccardo eBarbieri |
| author_sort | Zhe eChen |
| collection | DOAJ |
| description | In 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 nonlinearities, with subsequent bispectral quantification in the frequency domain, further allows for definition of instantaneous metrics of nonlinearity. We here organize 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, noninvasive assessment in clinical practice. |
| first_indexed | 2024-04-14T03:12:16Z |
| format | Article |
| id | doaj.art-264c52a4d57e445195f7585fc7790e1b |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-14T03:12:16Z |
| publishDate | 2012-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-264c52a4d57e445195f7585fc7790e1b2022-12-22T02:15:34ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2012-02-01310.3389/fphys.2012.0000415501A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular ControlZhe eChen0Patrick ePurdon1Emery N Brown2Riccardo eBarbieri3Massachusetts General HospitalMassachusetts General HospitalMassachusetts Institute of TechnologyMassachusetts General HospitalIn 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 nonlinearities, with subsequent bispectral quantification in the frequency domain, further allows for definition of instantaneous metrics of nonlinearity. We here organize 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, noninvasive assessment in clinical practice.http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00004/fullHeart rate variabilitygeneral anesthesiaautonomic cardiovascular controlbaroreflex sensitivitypoint processrespiratory sinus arrhythmia |
| spellingShingle | Zhe eChen Patrick ePurdon Emery N Brown Riccardo eBarbieri A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control Frontiers in Physiology Heart rate variability general anesthesia autonomic cardiovascular control baroreflex sensitivity point process respiratory sinus arrhythmia |
| title | A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control |
| title_full | A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control |
| title_fullStr | A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control |
| title_full_unstemmed | A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control |
| title_short | A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control |
| title_sort | unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control |
| topic | Heart rate variability general anesthesia autonomic cardiovascular control baroreflex sensitivity point process respiratory sinus arrhythmia |
| url | http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00004/full |
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