0000000000705029

AUTHOR

Luca Citi

0000-0001-8702-5654

showing 2 related works from this author

Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardio-Respiratory Nonstationary Dynamics

2017

Objective: Measures of transfer entropy (TE) quantify the direction and strength of coupling between two complex systems. Standard approaches assume stationarity of the observations, and therefore are unable to track time-varying changes in nonlinear information transfer with high temporal resolution. In this study, we aim to define and validate novel instantaneous measures of TE to provide an improved assessment of complex nonstationary cardiorespiratory interactions. Methods: We here propose a novel instantaneous point-process TE (ipTE) and validate its assessment as applied to cardiovascular and cardiorespiratory dynamics. In particular, heartbeat and respiratory dynamics are characteriz…

AdultMaleInformation transferHistoryHeartbeatDatabases FactualPhysiologyEntropy0206 medical engineeringComplex systemBiomedical EngineeringHeart Rate VariabilityProbability density function02 engineering and technology01 natural sciencesPoint processStatistics NonparametricElectrocardiographyYoung Adult0103 physical sciencesProbability density functionEntropy (information theory)HumansStatistical physicsTransfer Entropy010306 general physicsBiomedical measurementMathematicsbusiness.industryHemodynamicsModels CardiovascularHeart beatSignal Processing Computer-AssistedComplexityBaroreflex020601 biomedical engineeringKolmogorov-Smirnov DistanceRespiratory Sinus ArrhythmiaBaroreflex; Biomedical measurement; Complexity; Entropy; Heart beat; Heart rate variability; Heart Rate Variability; History; Kolmogorov-Smirnov Distance; Physiology; Point Process; Probability density function; Respiratory Sinus Arrhythmia; Transfer Entropy; Biomedical EngineeringDiscrete time and continuous timePoint ProceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPoint ProcessTransfer entropyFemaleArtificial intelligencebusiness
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Instantaneous transfer entropy for the study of cardio-respiratory dynamics

2015

Measures of transfer entropy have been proposed to quantify the directional coupling and strength between two complex physiological variables. Particular attention has been given to nonlinear interactions within cardiovascular and respiratory dynamics as influenced by the autonomic nervous system. However, standard transfer entropy estimates have shown major limitations in dealing with issues concerning stochastic system modeling, limited observations in time, and the assumption of stationarity of the considered physiological variables. Moreover, standard estimates are unable to track time-varying changes in nonlinear coupling with high resolution in time. Here, we propose a novel definitio…

AdultMaleInformation transferComputer scienceEntropyPostureBiomedical EngineeringProbability density functionHealth InformaticsMaximum entropy spectral estimationNonlinear DynamicEntropy (classical thermodynamics)ElectrocardiographyTheoreticalRespiratory RateControl theoryModelsHeart RateTilt-Table TestEntropy (information theory)Humans1707; Signal Processing; Biomedical Engineering; Health InformaticsStatistical physicsEntropy (energy dispersal)Entropy (arrow of time)1707Likelihood FunctionsEntropy (statistical thermodynamics)Models TheoreticalLikelihood FunctionNonlinear systemDiscrete time and continuous timeNonlinear DynamicsSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyFemaleAdult; Electrocardiography; Entropy; Female; Heart Rate; Humans; Likelihood Functions; Male; Models Theoretical; Nonlinear Dynamics; Posture; Tilt-Table Test; Respiratory Rate; Signal Processing; Biomedical Engineering; 1707; Health InformaticsEntropy (order and disorder)Human
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