Search results for "Cardiovascular control"

showing 10 items of 17 documents

Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals

2004

Although the concept of transfer function is intrinsically related to an input-output relationship, the traditional and widely used estimation method merges both feedback and feedforward interactions between the two analyzed signals. This limitation may endanger the reliability of transfer function analysis in biological systems characterized by closed loop interactions. In this study, a method for estimating the transfer function between closed loop interacting signals was proposed and validated in the field of cardiovascular and cardiorespiratory variability. The two analyzed signals x and y were described by a bivariate autoregressive model, and the causal transfer function from x to y w…

AdultMaleGeneral Computer ScienceLinear transfer functionBlood PressureBivariate analysisTransfer functionModels BiologicalFeedbackCausality (physics)Cardiovascular Physiological PhenomenaControl theoryCoherence (signal processing)HumansComputer SimulationLungMathematicsComputer Science (all)Linear modelFeed forwardReproducibility of ResultsRegression analysisHeartAutoregressive modelCardiovascular controlLinear ModelsRespiratory Physiological PhenomenaRegression AnalysisFemaleCoherenceAlgorithmsBiotechnology
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Cardiovascular control and time domain granger causality: Insights from selective autonomic blockade

2013

We studied causal relations among heart period (HP), systolic arterial pressure (SAP) and respiration (R) according to the definition of Granger causality in the time domain. Autonomic pharmacological challenges were used to alter the complexity of cardiovascular control. Atropine (AT), propranolol and clonidine (CL) were administered to block muscarinic receptors, β-adrenergic receptors and centrally sympathetic outflow, respectively. We found that: (i) at baseline, HP and SAP interacted in a closed loop with a dominant causal direction from HP to SAP; (ii) pharmacological blockades did not alter the bidirectional closed-loop interactions between HP and SAP, but AT reduced the dominance of…

AdultMaleGeneral MathematicsGeneral Physics and AstronomyBlood PressurePropranololPharmacologyBaroreflexArterial pressure variability; Autonomic nervous system; Baroreflex; Cardiovascular control; Granger causality; Heart rate variability; Mathematics (all); Engineering (all); Physics and Astronomy (all)Models BiologicalPhysics and Astronomy (all)Engineering (all)Respiratory RateGranger causalityBiological ClocksHeart RateMuscarinic acetylcholine receptormedicineHumansHeart rate variabilityAutonomic nervous systemMathematics (all)Computer SimulationHeart rate variabilityFeedback PhysiologicalChemistryGeneral EngineeringMiddle AgedBaroreflexClonidineAtropineAutonomic nervous systemCardiovascular controlSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityFemaleArterial pressure variabilityAutonomic Nerve Blockmedicine.drug
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Lag-specific transfer entropy as a tool to assess cardiovascular and cardiorespiratory information transfer

2014

In the study of interacting physiological systems, model-free tools for time series analysis are fundamental to provide a proper description of how the coupling among systems arises from the multiple involved regulatory mechanisms. This study presents an approach which evaluates direction, magnitude, and exact timing of the information transfer between two time series belonging to a multivariate dataset. The approach performs a decomposition of the well-known transfer entropy (TE) which achieves 1) identifying, according to a lag-specific information-theoretic formulation of the concept of Granger causality, the set of time lags associated with significant information transfer, and 2) assig…

AdultMaleInformation transferMultivariate statisticsDynamical systems theoryDatabases FactualComputer sciencePhysiologyEntropyBiomedical EngineeringBlood Pressuredynamical systemYoung AdultGranger causalityControl theoryHumansAutonomic nervous systemmultivariate time serieTime seriesmutual informationcardiovascular controlconditional entropy (CE)RespirationModels CardiovascularComputational BiologyHeartMutual informationCausalityNonlinear systemSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityTransfer entropy
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Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks.

2017

Objective: Indexes assessing the balance between redundancy and synergy were hypothesized to be helpful in characterizing cardiovascular control from spontaneous beat-to-beat variations of heart period (HP), systolic arterial pressure (SAP), and respiration (R). Methods: Net redundancy/synergy indexes were derived according to predictability and transfer entropy decomposition strategies via a multivariate linear regression approach. Indexes were tested in two protocols inducing modifications of the cardiovascular regulation via baroreflex loading/unloading (i.e., head-down tilt at −25° and graded head-up tilt at 15°, 30°, 45°, 60°, 75°, and 90°, respectively). The net redundancy/synergy of …

AdultMaleMultivariate statisticsComputer scienceEntropyBiomedical EngineeringBlood Pressurecomputer.software_genreAutonomic Nervous System01 natural sciences010305 fluids & plasmasHead-Down TiltEntropy (classical thermodynamics)ElectrocardiographyYoung AdultHeart RateBayesian multivariate linear regression0103 physical sciencesStatisticshead-down tilt (HDT)Redundancy (engineering)Entropy (information theory)HumansPredictabilityEntropy (energy dispersal)010306 general physicsEntropy (arrow of time)cardiovascular controlModels StatisticalEntropy (statistical thermodynamics)heart rate variabilityUnivariateSignal Processing Computer-AssistedBaroreflexMiddle Agedhead-up tilt (HUT)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyFemaleData miningWiener-Granger causalitycomputerEntropy (order and disorder)IEEE transactions on bio-medical engineering
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Mechanisms of causal interaction between short-term RR interval and systolic arterial pressure oscillations during orthostatic challenge

2013

The transition from the supine to the upright position requires a reorganization of the mechanisms of cardiovascular control that, if not properly accomplished, may lead to neurally mediated syncope. We investigated how the patterns of causality between systolic arterial pressure (SAP) and cardiac RR interval were modified by prolonged head-up tilt using a novel nonlinear approach based on corrected conditional entropy (CCE) compared with the standard approach exploiting the cross-correlation function (CCF). Measures of coupling strength and delay of the causal interactions from SAP to RR and from RR to SAP were obtained in 10 patients with recurrent, neurally mediated syncope (RNMS) and 10…

AdultMaleSupine positionAdolescentPhysiologyPostureBaroreflexCardiovascular SystemSyncopeCardiovascular Physiological PhenomenaElectrocardiographyYoung AdultTilt table testOrthostatic vital signsNeurally mediated syncopeTilt-Table TestPhysiology (medical)medicineAutonomic nervous systemHumansArterial PressureCardiovascular Physiological PhenomenaAgedmedicine.diagnostic_testbusiness.industryHead-up tiltCrosscorrelationHeartBaroreflexMiddle AgedAutonomic nervous systemBlood pressureCardiovascular controlCase-Control StudiesAnesthesiaSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleConditional entropybusinessElectrocardiographyJournal of Applied Physiology
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Exploring metrics for the characterization of the cerebral autoregulation during head-up tilt and propofol general anesthesia

2022

Techniques grounded on the simultaneous utilization of Tiecks' second order differential equations and spontaneous variability of mean arterial pressure (MAP) and mean cerebral blood flow velocity (MCBFV), recorded from middle cerebral arteries through a transcranial Doppler device, provide a characterization of cerebral autoregulation (CA) via the autoregulation index (ARI). These methods exploit two metrics for comparing the measured MCBFV series with the version predicted by Tiecks' model: normalized mean square prediction error (NMSPE) and normalized correlation rho. The aim of this study is to assess the two metrics for ARI computation in 13 healthy subjects (age: 27 & PLUSMN; 8 yr…

AdultMaleUltrasonography Doppler TranscranialEndocrine and Autonomic SystemsAutoregulation indexBlood PressureSpontaneous variability; Cerebral blood flow; Mean arterial pressure; Cardiovascular control; Autoregulation index; Autonomic nervous systemAnesthesia GeneralMiddle AgedCerebral blood flowMean arterial pressureYoung AdultCellular and Molecular NeuroscienceCerebrovascular CirculationCardiovascular controlSettore ING-INF/06 - Bioingegneria Elettronica e InformaticaHomeostasisHumansAutonomic nervous systemNeurology (clinical)PropofolBlood Flow VelocitySpontaneous variabilityAged
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Dynamic cerebrovascular autoregulation in patients prone to postural syncope: Comparison of techniques assessing the autoregulation index from sponta…

2021

Abstract Three approaches to the assessment of cerebrovascular autoregulation (CA) via the computation of the autoregulation index (ARI) from spontaneous variability of mean arterial pressure (MAP) and mean cerebral blood flow velocity (MCBFV) were applied: 1) a time domain method (TDM); 2) a nonparametric method (nonPM); 3) a parametric method (PM). Performances were tested over matched and surrogate unmatched pairs. Data were analyzed at supine resting (REST) and during the early phase of 60° head-up tilt (TILT) in 13 subjects with previous history of postural syncope (SYNC, age: 28 ± 9 yrs.; 5 males) and 13 control individuals (noSYNC, age: 27 ± 8 yrs.; 5 males). Analysis was completed b…

AdultMalemedicine.medical_specialtyMean arterial pressureSupine positionBlood PressureSyncopeCellular and Molecular NeuroscienceOrthostatic vital signsYoung AdultInternal medicinemedicineHeart rate variabilityHomeostasisHumansAutonomic nervous systemAutoregulationMean cerebral blood flow velocityHeart rate variabilityArterial pressureEndocrine and Autonomic Systemsbusiness.industryHead-up tiltAutonomic nervous systemBlood pressureCerebral blood flowCerebrovascular CirculationCardiovascular controlCardiologyNeurology (clinical)businessBlood Flow Velocity
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Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally m…

2006

A causal approach to the calculation of coherence and transfer function between systolic pressure (SP) and RR interval variability was applied in eight patients and eight control subjects during prolonged tilt test for investigating the impairment of cardiovascular control related to neurally mediated syncope. The causal analysis showed a depressed baroreflex regulation in resting patients, with reduced gain and increased latency from SP to RR, and a drop of the baroreflex coupling immediately before syncope. These findings, which were not elicited by traditional cross-spectral analysis, strongly suggest the use of the causal approach for the study of syncope mechanisms. © 2006 IEEE.

AdultMalemedicine.medical_specialtyStatistics as TopicBiomedical EngineeringBlood PressureNeurally-mediated syncopeCardiovascular controlBaroreflexCardiovascular SystemSensitivity and SpecificitySeverity of Illness IndexFeedbackElectrocardiographyHeart RateInternal medicineSeverity of illnessHeart rateSyncope VasovagalmedicineHumansComputer SimulationDiagnosis Computer-AssistedModels Statisticalmedicine.diagnostic_testbusiness.industryTransfer functionModels CardiovascularReproducibility of ResultsBaroreflexBlood pressureData Interpretation StatisticalAnesthesiaCardiologyRegression AnalysisFemalebusinessElectrocardiographyCoherenceAlgorithmsSyncope (phonology)
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Information Decomposition: A Tool to Dissect Cardiovascular and Cardiorespiratory Complexity

2017

This chapter reports some recent developments of information-theoretic concepts applied to the description of coupled dynamical systems, which allow to decompose the entropy of an assigned target system into components reflecting the information stored in the system and the information transferred to it from the other systems, as well as the nature (synergistic or redundant) of the information transferred to the target. The decomposition leads to well-defined measures of information dynamics which in the chapter will be defined theoretically, computed in simulations of linear Gaussian systems and implemented in practice through the application to heart period, arterial pressure and respirat…

Dynamical systems theoryComputer scienceMedicine (all)GaussianCardiorespiratory fitnessCardiovascular controlcomputer.software_genre01 natural sciences010305 fluids & plasmassymbols.namesakeHealth Professions (all)Engineering (all)Settore ING-INF/06 - Bioingegneria Elettronica E Informatica0103 physical sciencessymbolsEntropy (information theory)Heart rate variabilityTilt testData miningInformation dynamics010306 general physicscomputer
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Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls.

2022

We present a framework for the linear parametric analysis of pairwise interactions in bivariate time series in the time and frequency domains, which allows the evaluation of total, causal and instantaneous interactions and connects time- and frequency-domain measures. The framework is applied to physiological time series to investigate the cerebrovascular regulation from the variability of mean cerebral blood flow velocity (CBFV) and mean arterial pressure (MAP), and the cardiovascular regulation from the variability of heart period (HP) and systolic arterial pressure (SAP). We analyze time series acquired at rest and during the early and late phase of head-up tilt in subjects developing or…

Endocrine and Autonomic SystemsTime series analysisBlood PressureHeartBaroreflexCardiovascular SystemSyncopeCerebral autoregulationCellular and Molecular NeuroscienceHeart RateAutoregressive modelsCardiovascular controlCerebrovascular CirculationGranger causalitySettore ING-INF/06 - Bioingegneria Elettronica e InformaticaHumansNeurology (clinical)Spectral decompositionAutoregressive models; Cardiovascular control; Cerebral autoregulation; Granger causality; Spectral decomposition; Time series analysis;Autonomic neuroscience : basicclinical
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