Search results for "Cardiovascular regulation"

showing 3 items of 3 documents

Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baro…

2004

Although in physiological conditions RR interval and systolic arterial pressure (SAP) are likely to interact in a closed loop, the traditional cross-spectral analysis cannot distinguish feedback (FB) from feedforward (FF) influences. In this study, a causal approach was applied for calculating the coherence from SAP to RR ( Ks-r) and from RR to SAP ( Kr-s) and the gain and phase of the baroreflex transfer function. The method was applied, compared with the noncausal one, to RR and SAP series taken from 15 healthy young subjects in the supine position and after passive head-up tilt. For the low frequency (0.04–0.15 Hz) spectral component, the enhanced FF coupling ( Kr-s = 0.59 ± 0.21, signi…

AdultMalemedicine.medical_specialtySympathetic Nervous SystemPhysiologyPeriod (gene)PostureRR intervalBlood PressureBaroreflexHeart RateTilt-Table TestCoherence and transfer functionFeedback and feedforward mechanismPhysiology (medical)Internal medicineHumansMedicineDirectionalityNonbaroreflex interactionFeedback Physiologicalbusiness.industryModels CardiovascularCardiovascular regulationHeartVagus NerveBaroreflexBlood pressureCirculatory systemCardiologySystolic arterial pressureFemaleCross-spectral analysiCardiology and Cardiovascular MedicinebusinessClosed loopAmerican Journal of Physiology-Heart and Circulatory Physiology
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Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability.

2007

A method for assessing Granger causal relationships in bivariate time series, based on nonlinear autoregressive (NAR) and nonlinear autoregressive exogenous (NARX) models is presented. The method evaluates bilateral interactions between two time series by quantifying the predictability improvement (PI) of the output time series when the dynamics associated with the input time series are included, i.e., moving from NAR to NARX prediction. The NARX model identification was performed by the optimal parameter search (OPS) algorithm, and its results were compared to the least-squares method to determine the most appropriate method to be used for experimental data. The statistical significance of…

Biomedical EngineeringBlood PressureBivariate analysisDirectionalitySensitivity and SpecificitySurrogate dataFeedbackNonlinear parametric modelGranger causalityControl theoryHeart RateOptimal parameter searchStatisticsAnimalsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsNonlinear autoregressive exogenous modelCardiovascular regulationSystem identificationModels CardiovascularNonlinear systemAutoregressive modelNonlinear DynamicsAutoregressive exogenous modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisSurrogate dataArterial pressure variabilityAlgorithmsAnnals of biomedical engineering
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Are nonlinear model-free conditional entropy approaches for the assessment of cardiac control complexity superior to the linear model-based one?

2016

Objective : We test the hypothesis that the linear model-based (MB) approach for the estimation of conditional entropy (CE) can be utilized to assess the complexity of the cardiac control in healthy individuals. Methods : An MB estimate of CE was tested in an experimental protocol (i.e., the graded head-up tilt) known to produce a gradual decrease of cardiac control complexity as a result of the progressive vagal withdrawal and concomitant sympathetic activation. The MB approach was compared with traditionally exploited nonlinear model-free (MF) techniques such as corrected approximate entropy, sample entropy, corrected CE, two k -nearest-neighbor CE procedures and permutation CE. Electroca…

Computer scienceEntropyBiomedical EngineeringSensitivity and Specificity01 natural sciencesApproximate entropy03 medical and health sciencesEntropy (classical thermodynamics)0302 clinical medicineHeart RateHeart Rate Determination0103 physical sciencesStatisticsHumansEntropy (information theory)Autonomic nervous systemComputer SimulationEntropy (energy dispersal)010306 general physicsEntropy (arrow of time)Heart rate variabilityFeedback PhysiologicalConditional entropyEntropy (statistical thermodynamics)Head-up tiltModels CardiovascularLinear modelCardiovascular regulationReproducibility of ResultsHeartStatistical modelMutual informationSample entropyMutual informationNonlinear DynamicsConcomitantSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsAlgorithmRandom variableAlgorithms030217 neurology & neurosurgeryEntropy (order and disorder)
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