Search results for "cardiorespiratory interaction"

showing 6 items of 6 documents

Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

2016

The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building on the most recent developments in this field, this work designs a complete approach to dissect the information carried by the target of a network of multiple interacting systems into the new information produced by the system, the information stored in the system, and the information transferred to it from the other systems; information storage and transfer are then further decomposed into amou…

Information transferDynamical systems theoryComputer scienceGeneral Physics and Astronomylcsh:AstrophysicsInformation theorycomputer.software_genreMachine learning01 natural sciencesEntropy - Cardiorespiratory interactions - Dynamical systems -cardiovascular interactions03 medical and health sciencessymbols.namesake0302 clinical medicinelcsh:QB460-4660103 physical sciencesinformation transferEntropy (information theory)lcsh:Science010306 general physicsGaussian processautoregressive processesmultivariate time series analysisbusiness.industryautonomic nervous systemredundancy and synergycardiorespiratory interactionsdynamical systemsComplex networkNetwork dynamicslcsh:QC1-999autonomic nervous system; autoregressive processes; cardiorespiratory interactions; cardiovascular interactions; Granger causality; dynamical systems; information dynamics; information transfer; redundancy and synergy; multivariate time series analysisAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalitysymbolslcsh:QArtificial intelligenceData mininginformation dynamicsbusinesscomputerlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 19; Issue 1; Pages: 5
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Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics

2021

Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems. The combined assessment of multiple physiological signals acquired during sleep is of fundamental importance for providing additional insights about breathing disorder events and the associated impairments. In this work, we apply information-theoretic measures to describe the joint dynamics of cardiorespiratory physiological processes in a large group of patients reporting repeated episodes of hypopneas, apneas (central, obstructive, mixed) and respiratory effort related arousals (RERAs). We analyze the heart period as the targ…

Information transfermedicine.medical_specialtyScienceQC1-999General Physics and AstronomyAstrophysics01 natural sciencesArticle010305 fluids & plasmas03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitation0103 physical sciencesrespiratory effort-related arousal (RERA)MedicineVagal toneinformation dynamicbusiness.industryPhysicsQCardiorespiratory interactionApneaCardiorespiratory fitnessCognitioncardiorespiratory interactionsapneaRisk factor (computing)QB460-466Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaBreathingSleep (system call)medicine.symptominformation dynamicsentropybusiness030217 neurology & neurosurgeryEntropy
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Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Non-linear Model-free Analysis

2022

In this work, nonlinear model-free methods for bivariate time series analysis have been applied to study cardiorespiratory interactions. Specifically, entropy-based (i.e. Transfer Entropy and Cross Entropy) and Convergent Cross Mapping asymmetric coupling measures have been computed on heart rate and breathing time series extracted from electrocardiographic (ECG) and respiratory signals acquired on 19 young healthy subjects during an experimental protocol including spontaneous and controlled breathing conditions. Results evidence a bidirectional nature of cardiorespiratory interactions, and highlight clear similarities and differences among the three considered measures.

Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaHeart rate time series analysis entropy cardiorespiratory interactions paced breathing nonlinear model-free analysis2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Linear Parametric Analysis

2022

In this work, we perform a linear parametric analysis of cardiorespiratory interactions in bivariate time series of heart period (HP) and respiration (RESP) measured in 19 healthy subjects during spontaneous breathing and controlled breathing at varying breathing frequency. The analysis is carried out computing measures of the total and causal interaction between HP and RESP variability in both time and frequency domains (low- and high-frequency, LF and HF). Results highlight strong cardiorespiratory interactions in the time domain and within the HF band that are not affected by the paced breathing condition. Interactions in the LF band are weaker and prevalent along the direction from HP t…

Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaTime series analysis Time-domain analysis controlled respiration cardiorespiratory interactions frequency domains causal interaction2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

2015

In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE), quantifying the cross information and internal information of the target system, respectively. This study presents a thorough evaluation of SE, TE, CE and cSE as quantities related to the causal statistical s…

causalityInformation dynamicsTransfer entropyDynamical systems theoryComputationGeneral Physics and Astronomylcsh:AstrophysicsBivariate analysisMultivariate autoregressive processeMachine learningcomputer.software_genreMultivariate autoregressive processesCardiorespiratory interactionsPhysics and Astronomy (all)Systems theoryDynamical systemslcsh:QB460-466Decomposition (computer science)Statistical physicslcsh:ScienceCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropyHeart rate variabilityMathematicsCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropy; Physics and Astronomy (all)business.industryCardiorespiratory interactionheart rate variabilitytransfer entropyDynamical systemcardiorespiratory interactionsdynamical systemslcsh:QC1-999CausalityInformation dynamicCross entropySettore ING-INF/06 - Bioingegneria Elettronica E Informaticamultivariate autoregressive processesBenchmark (computing)lcsh:QTransfer entropyArtificial intelligenceinformation dynamicsbusinesscomputerlcsh:PhysicsEntropy
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A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography

2022

Nowadays, the ever-growing interest to health and quality of life of individuals and the advancements in electronic devices technology are pushing the development of portable and wearable biomedical devices able to pursue a minimally invasive monitoring of physiological parameters in daily-life conditions. Such devices can now carry out a real-time assessment of the subjects’ overall health status and possibly even detect ongoing diseases. In this context, we have designed and implemented a multisensor portable system able to perform synchronous real-time acquisitions of electrocardiographic (ECG), photoplethysmographic (PPG) and airflow breathing signals. We investigated cardiorespiratory …

electrocardiography (ECG)photoplethysmography (PPG)Granger causality.breathing signalPortable biomedical deviceSettore ING-INF/06 - Bioingegneria Elettronica E Informaticacardiorespiratory interactionSettore ING-INF/01 - Elettronica2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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