Search results for "information domain"

showing 3 items of 3 documents

Basic cardiovascular variability signals: mutual directed interactions explored in the information domain.

2017

The study of short-term cardiovascular interactions is classically performed through the bivariate analysis of the interactions between the beat-to-beat variability of heart period (RR interval from the ECG) and systolic blood pressure (SBP). Recent progress in the development of multivariate time series analysis methods is making it possible to explore how directed interactions between two signals change in the context of networks including other coupled signals. Exploiting these advances, the present study aims at assessing directional cardiovascular interactions among the basic variability signals of RR, SBP and diastolic blood pressure (DBP), using an approach which allows direct compar…

MaleMultivariate statisticsAdolescentPhysiologySystole0206 medical engineeringBiomedical EngineeringBiophysicsContext (language use)Blood Pressure02 engineering and technologyBivariate analysisBaroreflex03 medical and health sciencesElectrocardiography0302 clinical medicineinformation domainDiastoleHeart RatePhysiology (medical)StatisticsHumansbaroreflexMathematicsResting state fMRIheart rate variabilityMultivariate time series analysiscomplex system020601 biomedical engineeringcardiovascular oscillationBlood pressureBiophysicInformation domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleblood pressure variability030217 neurology & neurosurgeryHumancirculatory and respiratory physiologyPhysiological measurement
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ANALYSIS OF RESPIRATORY SINUS ARRHYTHMIA MECHANISMS IN INFORMATION DOMAIN

2018

medicine.medical_specialtybusiness.industryPathology and Forensic Medicine03 medical and health sciences0302 clinical medicine030228 respiratory systemInformation domainPhysiology (medical)Internal medicinemedicineCardiologyVagal tonebusiness030217 neurology & neurosurgeryPathophysiology
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Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms.

2016

Baroreflex function is usually assessed from spontaneous oscillations of blood pressure (BP) and cardiac RR interval assuming a unidirectional influence from BP to RR. However, the interaction of BP and RR is bidirectional—RR also influences BP. Novel methods based on the concept of Granger causality were recently developed for separate analysis of feedback (baroreflex) and feedforward (mechanical) interactions between RR and BP. We aimed at assessing the proportion of the two causal directions of the interactions between RR and systolic BP (SBP) oscillations during various conditions, and at comparing causality measures from SBP to RR with baroreflex gain indexes. Arterial BP and ECG sig…

medicine.medical_specialtySupine position0206 medical engineeringBiomedical EngineeringBlood Pressure02 engineering and technologyBaroreflex03 medical and health sciencesElectrocardiographyYoung Adult0302 clinical medicineInternal medicineHeart ratemedicineSupine PositionHumanscardiovascular diseasesSimulationFeedback PhysiologicalHead-up tiltFeed forwardComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedBaroreflex020601 biomedical engineeringCausalityComputer Science ApplicationsTerm (time)Blood pressureMental arithmeticState dependentSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityCardiologyInformation domainPsychology030217 neurology & neurosurgeryStress Psychologicalcirculatory and respiratory physiologyMedicalbiological engineeringcomputing
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