Search results for " Heart rate variability"

showing 10 items of 24 documents

Sympathetic, metabolic adaptations, and oxidative stress in autism spectrum disorders: How far from physiology?

2018

Autism spectrum disorders (ASD) is a complex and multifaceted neurobehavioral syndrome with no specific cause still identified, despite the worldwide increasing (prevalence for 1,000 children from 6.7 to 14.6, between 2000 and 2012). Many biological and instrumental markers have been suggested as potential predictive factors for the precocious diagnosis during infancy and/or pediatric age. Many studies reported structural and functional abnormalities in the autonomic system in subjects with ASD. Sleep problems in ASD are a prominent feature, having an impact on the social interaction of the patient. Considering the role of orexins (A and B) in wake-sleep circadian rhythm, we could speculate…

0301 basic medicineOrexin-APhysiologyAutism spectrum disorders (ASD); Heart rate (HR); Heart rate variability (HRV); Orexin-A; Oxidative stress; Physiology; Physiology (medical)Case ReportAutism spectrum disorders (ASD); Heart rate (HR); Heart rate variability (HRV); Orexin-A; Oxidative stressmedicine.disease_causelcsh:PhysiologyHeart rate (HR)03 medical and health sciences0302 clinical medicinePhysiology (medical)Heart ratemental disordersmedicineHeart rate variabilityCircadian rhythmlcsh:QP1-981business.industryPediatric agemedicine.diseaseAutism spectrum disorders (ASD)Pathophysiology030104 developmental biologyOxidative stressAutismOxidative streAutism spectrum disorders (ASD); Heart rate (HR); Heart rate variability (HRV); Orexin-A; Oxidative stress;Skin conductancebusinessNeuroscienceHeart rate variability (HRV)030217 neurology & neurosurgeryOxidative stress
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Sympathovagal balance and 1-h postload plasma glucose in normoglucose tolerant hypertensive patients.

2015

AIMS: Normoglucose tolerant (NGT) subjects with a 1-h postload plasma glucose (PLPG) value ≥155 mg/dL have an increased risk of type-2 diabetes and subclinical organ damage. Heart rate variability (HRV) reflects cardiac autonomic balance, frequently impaired in course of diabetes. At this time, no data support the association between 1-h PLPG and HRV; thus, we investigated the possible association between 1-h PLPG and HRV. METHODS: We enrolled 92 never-treated hypertensive subjects (56 women, 36 men), aged 55 ± 9.8 years. During OGTT, the patients underwent electrocardiographic recordings to evaluate HRV in the time domain (SDNN). Insulin sensitivity was assessed by Matsuda index. RESULTS: …

AdultBlood GlucoseMalemedicine.medical_specialtySettore MED/09 - Medicina Internaendocrine system diseasesglucose toleranceInsulin resistance Heart rate variability Glucose tolerance Essential hypertensionEndocrinology Diabetes and Metabolismmedicine.medical_treatment030209 endocrinology & metabolism030204 cardiovascular system & hematologyEssential hypertensionAutonomic Nervous Systeminsulin resistance heart rate variability glucose tolerance essential hypertensionImpaired glucose tolerance03 medical and health sciences0302 clinical medicineEndocrinologyInsulin resistanceHeart RateInternal medicineDiabetes mellitusinsulin resistanceGlucose IntoleranceInternal MedicineMedicineHeart rate variabilityHomeostasisHumansSubclinical infectionBalance (ability)Agedbusiness.industryInsulinheart rate variabilityessential hypertensionnutritional and metabolic diseasesGeneral MedicineGlucose Tolerance TestMiddle Agedmedicine.diseaseEndocrinologyDiabetes Mellitus Type 2HypertensionCardiologyFemalebusinesshormones hormone substitutes and hormone antagonists
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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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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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Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions

2022

Objective: Respiration disturbs cardiovascular and cerebrovascular controls but its role is not fully elucidated. Methods: Respiration can be classified as a confounder if its observation reduces the strength of the causal relationship from source to target. Respiration is a suppressor if the opposite situation holds. We prove that a confounding/suppression (C/S) test can be accomplished by evaluating the sign of net redundancy/synergy balance in the predictability framework based on multivariate autoregressive modelling. In addition, we suggest that, under the hypothesis of Gaussian processes, the C/S test can be given in the transfer entropy decomposition framework as well. Experimental p…

AdultMalePhysiologyBiomedical EngineeringsynergyBlood Pressurecardiac neural controlYoung Adulthead-up tiltHeart RateHumansArterial PressureAnesthesiaPropofolAgedMultivariate autoregressive modelredundancyRespirationcerebrovascular autoregulationautonomic nervous systemheart rate variabilityMediationtransfer entropyHeartIndexesMiddle Agedsuppressiongeneral anesthesiapredictability decompositionconfoundingCerebrovascular CirculationSettore ING-INF/06 - Bioingegneria Elettronica e Informaticaautonomic nervous system; cardiac neural control; cerebrovascular autoregulation; confounding; general anesthesia; head-up tilt; heart rate variability; Multivariate autoregressive model; predictability decomposition; redundancy; suppression; synergy; transfer entropy;ProtocolsRegulation
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Breathing 100% oxygen during water immersion improves postimmersion cardiovascular responses to orthostatic stress

2016

Abstract Physiological compensation to postural stress is weakened after long‐duration water immersion (WI), thus predisposing individuals to orthostatic intolerance. This study was conducted to compare hemodynamic responses to postural stress following exposure to WI alone (Air WI), hyperbaric oxygen alone in a hyperbaric chamber (O 2 HC), and WI combined with hyperbaric oxygen (O 2 WI), all at a depth of 1.35 ATA, and to determine whether hyperbaric oxygen is protective of orthostatic tolerance. Thirty‐two healthy men underwent up to 15 min of 70° head‐up tilt (HUT) testing before and after a single 6‐h resting exposure to Air WI ( N  = 10), O 2 HC ( N  = 12), or O 2 WI ( N  = 10). Heart …

AdultMalemedicine.medical_specialtyCardiac outputPhysiologyDivingOrthostatic intoleranceHemodynamicsBlood PressureNeurological Conditions Disorders and Treatments03 medical and health sciencesOrthostatic vital signs0302 clinical medicinePhysiology (medical)Internal medicineHeart rateImmersionMedicineAutonomic nervous systemblood flowHumansOriginal ResearchPresyncopeRespiratory Conditions Disorder and DiseasesHyperbaric Oxygenationbusiness.industryRespirationheart rate variabilityHeartStroke Volume030229 sport sciencesmedicine.diseaseSurgeryOxygenmedicine.anatomical_structureBlood pressureAutonomic nervous system; Blood flow; Blood pressure; Heart rate variability; Hyperoxia; Orthostatic tolerance; Water immersion; Adult; Diving; Humans; Hyperbaric Oxygenation; Immersion; Male; Orthostatic Intolerance; Oxygen; Vascular Resistance; Blood Pressure; Respiration; Stroke Volume; Physiology; Physiology (medical)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaVascular resistanceCardiologyOrthostatic Intolerancehyperoxiawater immersionorthostatic toleranceVascular Resistancebusiness030217 neurology & neurosurgeryHumanPhysiological Reports
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Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatment

2016

This work introduces a framework to study the network formed by the autonomic component of heart rate variability (cardiac process η ) and the amplitude of the different electroencephalographic waves (brain processes δ , θ , α , σ , β ) during sleep. The framework exploits multivariate linear models to decompose the predictability of any given target process into measures of self-, causal and interaction predictability reflecting respectively the information retained in the process and related to its physiological complexity, the information transferred from the other source processes, and the information modified during the transfer according to redundant or synergistic interaction betwee…

Autonomic nervous system; Brain-heart interactions; Delta sleep electroencephalogram; Granger causality; Heart rate variability; Synergy and redundancy; Mathematics (all); Engineering (all); Physics and Astronomy (all)General MathematicsGeneral Physics and AstronomyElectroencephalography01 natural sciencesSynergy and redundancy03 medical and health sciencesPhysics and Astronomy (all)0302 clinical medicineEngineering (all)0103 physical sciencesMedicineHeart rate variabilityAutonomic nervous systemMathematics (all)Predictability010306 general physicsHeart rate variabilityCardiac processmedicine.diagnostic_testbusiness.industryGeneral EngineeringHealthy subjectsBrainArticlesAutonomic nervous systemDelta sleep electroencephalogramSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityBrain-heart interactionSleep (system call)businessNeuroscience030217 neurology & neurosurgery
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Effects of eight weeks of physical training on physical performance and heart rate variability in children

2017

Kraama, Liisa. 2013. Effects of eight weeks physical training on physical performance and heart rate variability in children. University of Jyvaskyla, Department of Biology of Physical Activity. Master’s Thesis in Exercise Physiology. 52 pp. Physical activity and aerobic capacity have decreased among children and adolescents during the last decades. Physically active adults have been shown to have higher heart rate variability (HRV) than less active adults. In adults training-induced changes in physical performance have been shown to be related to increase in HRV, especially in high frequency component (HF), which is a marker of parasympathetic activity. The purpose of this study was to exa…

Circuit trainingmedicine.medical_specialtySupine positionPhysiologysportsPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciencesPhysical activity level03 medical and health sciencesAutonomic nervous system0302 clinical medicineEndurance trainingSports medicineHeart ratesports.sportPhysical therapymedicineQP1-981Heart rate variabilityOrthopedics and Sports Medicineadolescents - endurance exercise - heart rate variabilityExercise physiologyRC1200-1245030217 neurology & neurosurgeryBiomedical Human Kinetics
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Advanced computation in cardiovascular physiology: New challenges and opportunities

2021

Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While these advanced tools have demonstrated excellent diagnostic capabilities, the high complexity of these computational 'black boxes’ may severely limit scientific inference, especially in terms of biological insight about both physiology and pathological aberrations. This theme issue highlights current challenges and opportunities of advanced computational tools for processing dynamical data reflecting autonomic nervous system dynamics, with a speci…

Computer scienceGeneral MathematicsComputationGeneral Physics and AstronomyelectrocardiogramMachine learningcomputer.software_genreComputer-AssistedHeart RateArtificial IntelligenceHumansInterpretabilitySignal processingbusiness.industryDeep learningGeneral Engineeringheart rate variabilitydeep learningSignal Processing Computer-Assistedcardiology; deep learning; electrocardiogram; heart rate variability; interpretability; respiration; Heart Rate; Humans; Nonlinear Dynamics; Signal Processing Computer-Assisted; Algorithms; Artificial IntelligenceCardiovascular physiologyComputational physiologyNonlinear DynamicscardiologySignal ProcessingArtificial intelligencebusinessinterpretabilitycomputerrespirationAlgorithms
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Low invasive multisensor acquisition system for real-time monitoring of cardiovascular and respiratory parameters

2020

The recent advances in multiparametric monitoring of biosignals and management of big data prompt for the development of devices and techniques for the extraction of indicators with physiological relevance. In this context, we have designed and realized a portable electronic system, equipped with simple biomedical sensors, able to synchronously record multiple electrocardiographic (ECG), photoplethysmographic (PPG) and breathing signals, for carrying out a non-invasive monitoring of several cardiovascular parameters. In this work, we show the results of preliminary measurements performed following a specific physiological protocol (i.e., deep breathing with 10 s per cycle). The system allow…

Computer scienceWearable electronics portable system electrocardiography (ECG) photoplethysmography (PPG) heart rate variabilitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaReal-time computingBreathingExhalationBiomedical sensorsDiaphragmatic breathingHeart rate variabilityContext (language use)Stroke volumeSettore ING-INF/01 - ElettronicaElectronic systems2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
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