Search results for "Heart rate Variability"

showing 10 items of 232 documents

Cardiorespiratory Fitness Estimation Based on Heart Rate and Body Acceleration in Adults With Cardiovascular Risk Factors : Validation Study

2022

Publisher Copyright: © Antti-Pekka E Rissanen, Mirva Rottensteiner, Urho M Kujala, Jari L O Kurkela, Jan Wikgren, Jari A Laukkanen. Originally published in JMIR Cardio (https://cardio.jmir.org), 25.10.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cardio, is properly cited. The complete bibliographic information, a link to the original publication on https://cardio.jmir.org, as well as this copyright and license information must be included. Background: C…

cardiorespiratory fitnesshypertensiondiabetesheart rate variabilityHealth Informaticsriskitekijätwearable technology3121 General medicine internal medicine and other clinical medicineterveysvaikutuksetsydän- ja verisuonitauditkohonnut verenpainetype 2 diabetespuettava teknologiaCardiology and Cardiovascular Medicineaikuistyypin diabetesmetabolinen oireyhtymäcardiopulmonary exercise test
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Interictal Heart Rate Variability Analysis Reveals Lateralization of Cardiac Autonomic Control in Temporal Lobe Epilepsy.

2020

International audience; Purpose: The temporal lobe, a critical hub for cognition, also plays a central role in the regulation of autonomic cardiovascular functions. Lesions in this area are usually associated with abnormalities in the regulation of heart rate (HR) and blood pressure (BP). The analysis of the heart rate variability (HRV) is useful to evaluate the cardiac parasympathetic nervous system activity. This study aims at comparing HRV changes occurring in two groups of patients suffering from Temporal Lobe Epilepsy (TLE). To that aim, we evaluated patients differentiated by the right or left location of the epileptic foci. Materials and Methods: Fifty-two adult patients with a diagn…

cardiovascular riskmedicine.medical_specialty030204 cardiovascular system & hematologySudden deathinterictal epileptic dischargebehavioral disciplines and activitiesinterictal epileptic dischargeslcsh:RC346-429Temporal lobe03 medical and health sciencesEpilepsy0302 clinical medicine[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemInternal medicineHeart ratemedicineHeart rate variabilityIctallcsh:Neurology. Diseases of the nervous systemOriginal Researchbusiness.industrySeizure typesautonomic nervous systemheart rate variabilitytemporal lobe epilepsymedicine.diseasenervous system diseasesAutonomic nervous systemNeurologyCardiologySettore MED/26 - Neurologia[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Neurology (clinical)business030217 neurology & neurosurgeryFrontiers in neurology
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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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Heart rate variability in marketing research: A systematic review and methodological perspectives

2022

Abstract Heart rate variability is a promising physiological measurement that accesses psychophysiological variations in response to a marketing stimulus. While its application spans diverse fields, there is a limited understanding of the usability and interpretation of heart rate variability in marketing research. Therefore, this hybrid literature review provides an overview of the emerging use of heart rate variability in marketing research, along with essential methodological considerations. In this context, we blend marketing mix framework with stimulus-organism-response theory, segregating the use of heart rate variability in various marketing research contexts. We follow the preferred…

consumer neuroscienceMarketingbibliometric analysismarketingresearchsystematic reviewbiometricheart rate variabilityUNESCO::CIENCIAS ECONÓMICASApplied Psychology
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A meta-analysis on heart rate variability biofeedback and depressive symptoms

2021

Heart rate variability biofeedback (HRVB) has been used for a number of years to treat depressive symptoms, a common mental health issue, which is often comorbid with other psychopathological and medical conditions. The aim of the present meta-analysis is to test whether and to what extent HRVB is effective in reducing depressive symptoms in adult patients. We conducted a literature search on Pubmed, ProQuest, Ovid PsycInfo, and Embase up to October 2020, and identified 721 studies. Fourteen studies were included in the meta-analysis. Three meta-regressions were also performed to further test whether publication year, the questionnaire used to assess depressive symptoms, or the interval of …

depressionHeart rate variability biofeedbackmeta-analysi
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High-intensity endurance training increases nocturnal heart rate variability in sedentary participants

2015

The effects of endurance training on endurance performance characteristics and cardiac autonomic modulation during night sleep were investigated during two 4-week training periods. After the first 4-week training period (3 x 40 min per week, at 75% of HRR) the subjects were divided into HIGH group (n = 7), who performed three high-intensity endurance training sessions per week; and CONTROL group (n = 8) who did not change their training. An incremental treadmill test was performed before and after the two 4-week training periods. Furthermore, nocturnal RR-intervals were recorded after each training day. In the second 4-week training period HIGH group increased their VO2max (P = 0.005) more …

distance runningeducationheart rate variabilityEndurance performanceendurance performancelcsh:Biology (General)autonominen hermostoAutonomic nervous systemOriginal Articlelcsh:Sports medicinelcsh:RC1200-1245lcsh:QH301-705.5Distance runningHeart rate variability
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Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entro…

2022

Heart Rate Variability (HRV) and Blood Pressure Variability (BPV) are widely employed tools for characterizing the complex behavior of cardiovascular dynamics. Usually, HRV and BPV analyses are carried out through short-term (ST) measurements, which exploit ~five-minute-long recordings. Recent research efforts are focused on reducing the time series length, assessing whether and to what extent Ultra-Short-Term (UST) analysis is capable of extracting information about cardiovascular variability from very short recordings. In this work, we compare ST and UST measures computed on electrocardiographic R-R intervals and systolic arterial pressure time series obtained at rest and during both post…

electrocardiography (ECG)Short-Term (ST) cardiovascular variabilityBlood PressureHeart Rate Variability (HRV)Settore ING-INF/01 - ElettronicaBiochemistryAtomic and Molecular Physics and OpticsHeart Rate Variability (HRV); Short-Term (ST) cardiovascular variability; Ultra-Short-Term (UST) HRV; electrocardiography (ECG); Systolic Arterial Pressure (SAP); entropy; conditional entropy; complexity; time-series analysisUltra-Short- Term (UST) HRVAnalytical Chemistryconditional entropyElectrocardiographyHeart RateSettore ING-INF/06 - Bioingegneria Elettronica E Informaticatime-series analysisArterial PressureElectrical and Electronic EngineeringentropycomplexitySystolic Arterial Pressure (SAP)InstrumentationSensors; Volume 22; Issue 23; Pages: 9149
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Synergistic and Redundant Brain-Heart Information in Patients with Focal Epilepsy

2020

In this work, partial information decomposition (PID) was applied to the time series of heart rate and EEG amplitude variability to investigate the dynamical interactions in brain-heart coupling before and after epileptic seizures. From ECG and EEG signals collected on 23 children suffering from focal epilepsy, the RR intervals and the EEG variance at ipsilateral and contralateral temporal electrodes were computed in four different time windows before and after the seizures. Static PID was used to obtain redundant, unique and synergistic components of the total information shared between the series of RR and EEG variance. Results highlight, in the progression from preictal to postictal stat…

electrocardiography (ECG)partial information decompositionmedicine.medical_specialtymedicine.diagnostic_testbusiness.industryMutual informationAudiologyElectroencephalographymedicine.diseasebrain-heart interactionsEpilepsyTime windowsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaHeart rateMedicineHeart rate variabilityIn patientelectroencephalography (EEG)business2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Monitoring heart rate derived indices and DC-potential of the brain over a 12-week endurance training period in recreational runners

2015

Purpose: The present study examined the agreement between HR-derived indices obtained over different recording situations (morning upon waking, in the lab, and during nocturnal measurements). Changes in DC-potential were examined following a high-intensity training (HIT) week by comparing them to a control week. Moreover, the relationship between adaptation to endurance training and the changes of morning HR-derived indices were examined. Methods: Eighteen subjects performed all testing and measurements (10 men, age 36.4 ± 6.1 yr; height 178.3 ± 5.2 cm; weight 77.8 ± 6.2 kg; VO2max 55.7 ± 6.0 ml/kg/min; 8 women, age 34.1 ± 7.5 yr; height 166.8 ± 6.7 cm; weight 61.7 ± 7.5 kg; VO2max 47.1 ± 4…

enduranceDC-potentialmonitoringsykekestävyysharjoitteluautonominen hermostoheart rate variabilitymethodology
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Recovery of rescuers from a 24-hour shift and its association with physical fitness

2013

The work of rescuers can be physically and psychologically very demanding so it is important for them to have sufficient recovery between work shifts. The purpose of this thesis was to study recovery of rescuers and to see if physical fitness is associated with recovery from work shifts. Heart rate variability (HRV) recordings reflect changes in the autonomic nervous system, and they were used for the analysis of stress and recovery. HRV was recorded for 96 hours, from the beginning of a 24-hour work shift to the beginning of the next shift. Physical fitness assessment included VO2max estimation with a submaximal bicycle ergometer test, and maximal strength testing (isometric bench press an…

firefightersstressrecoveryfyysinen kuntosykepalautuminenheart rate variabilityphysical fitnesscortisol awakening responsestressipalomiehetautonomic control
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