Search results for "HEART RATE"

showing 10 items of 887 documents

Are nonlinear model-free conditional entropy approaches for the assessment of cardiac control complexity superior to the linear model-based one?

2016

Objective : We test the hypothesis that the linear model-based (MB) approach for the estimation of conditional entropy (CE) can be utilized to assess the complexity of the cardiac control in healthy individuals. Methods : An MB estimate of CE was tested in an experimental protocol (i.e., the graded head-up tilt) known to produce a gradual decrease of cardiac control complexity as a result of the progressive vagal withdrawal and concomitant sympathetic activation. The MB approach was compared with traditionally exploited nonlinear model-free (MF) techniques such as corrected approximate entropy, sample entropy, corrected CE, two k -nearest-neighbor CE procedures and permutation CE. Electroca…

Computer scienceEntropyBiomedical EngineeringSensitivity and Specificity01 natural sciencesApproximate entropy03 medical and health sciencesEntropy (classical thermodynamics)0302 clinical medicineHeart RateHeart Rate Determination0103 physical sciencesStatisticsHumansEntropy (information theory)Autonomic nervous systemComputer SimulationEntropy (energy dispersal)010306 general physicsEntropy (arrow of time)Heart rate variabilityFeedback PhysiologicalConditional entropyEntropy (statistical thermodynamics)Head-up tiltModels CardiovascularLinear modelCardiovascular regulationReproducibility of ResultsHeartStatistical modelMutual informationSample entropyMutual informationNonlinear DynamicsConcomitantSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsAlgorithmRandom variableAlgorithms030217 neurology & neurosurgeryEntropy (order and disorder)
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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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A preliminary investigation of the effect of contact pressure on the accuracy of heart rate monitoring by wearable PPG wrist band

2019

The increase of safety and health monitor of workers has become a crucial objective to prevent excessive physical workloads, injuries, accidents and errors. Heart rate (HR) is a very important physiological indicator which could properly describe the workers’ physical status. Recently, wearable photoplethysmographic (PPG) wristband trackers have been utilized to measure HR without hindering normal gesture of workers. However, the quality of PPG signals is highly affected by human physical motions, resulting in a poor reliable HR estimation. Specifically, during different activities and gestures, PPG sensor contact pressures may have an impact on the quality of the heart rate signal. To appr…

Computer sciencePhotoplethysmography wearable sensor PPG sensor contact pressureWearable computerSettore ING-IND/34 - Bioingegneria IndustrialeWristSignalLoad cellSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinemedicine.anatomical_structureHeart rate monitoringHeart ratemedicineSettore ING-IND/12 - Misure Meccaniche E TermicheHeart rate variabilitysense organsContact pressureBiomedical engineering
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Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise-Basics and Options for Wearable Devices.

2018

The use of wearable devices or "wearables" in the physical activity domain has been increasing in the last years. These devices are used as training tools providing the user with detailed information about individual physiological responses and feedback to the physical training process. Advantages in sensor technology, miniaturization, energy consumption and processing power increased the usability of these wearables. Furthermore, available sensor technologies must be reliable, valid, and usable. Considering the variety of the existing sensors not all of them are suitable to be integrated in wearables. The application and development of wearables has to consider the characteristics of the p…

Computer scienceProcess (engineering)Physiologyheart rate control0206 medical engineeringControl (management)Wearable computerphenomenological approaches02 engineering and technologyReviewUSablelcsh:Physiology03 medical and health sciences0302 clinical medicineheart rate predictionHuman–computer interactionPhysiology (medical)training monitoringWearable technologyheart rate modelinglcsh:QP1-981business.industrywearable sensorsUsability030229 sport sciencesEnergy consumption020601 biomedical engineeringVariety (cybernetics)load controlddc:004businessFrontiers in physiology
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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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Information dynamics of brain-heart physiological networks during sleep

2014

This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain-heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the δ, θ, σ, and β bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissec…

Conditional entropyPhysicsSleep StagesInformation transfermedicine.diagnostic_testGeneral Physics and AstronomyElectroencephalographynetwork physiologybrainheart interactions; information dynamics; network physiology; Physics and Astronomy (all)Physics and Astronomy (all)Settore ING-INF/06 - Bioingegneria Elettronica E Informaticamedicinebrainheart interactionHeart rate variabilityEntropy (information theory)Transfer entropyNeuroscienceinformation dynamicSlow-wave sleep
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Entropy characteristics of heart rate wavelet multiscale components in epileptic children before and after seizures

2020

In this work, we analyze the information content of the multiple time scale components of heart rate variability (HRV) in children with focal epilepsy. HRV components are extracted from 30 pediatric patients, monitored 10 min and 10 s before and after focal epileptic seizures, using wavelet multiscale decomposition (with 5, 15, 30, 60, 120, 180 s time scale), and then characterized computing Entropy (E), permutation entropy (PE), conditional entropy (CE) and information storage (IS). Moving from preictal to postictal windows, we find statistically significant differences in the CE and IS values of HRV components at short time scales, which reflect autonomic imbalance and appear as potential…

Conditional entropyconditional entropy (CE)business.industryPattern recognitionHeart Rate Variability (HRV)medicine.diseaseinformation storage (IS)EpilepsyWaveletHeart rateSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultiple timemedicineEntropy (information theory)Heart rate variabilityArtificial intelligenceTime seriesbusinessentropywavelet transformMathematics
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Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States

2020

We compare different estimators of a popular en-tropy-based nonlinear dynamic measure, i.e. the conditional entropy (CE), as regards their ability to assess the complexity and nonlinearity of short-term heart rate variability (HRV). The CE is computed using binning, kernel and nearest neighbor entropy estimators in HRV time series measured from young, old and post-myocardial infarction patients studied at rest and during orthostatic stress. We find that the three estimators yield similar patterns of CE, but different patterns of nonlinear dynamics, across groups and conditions. These results suggest that the strategy for CE estimation is not crucial for the quantification of complexity, but…

Conditional entropynearest neighborHeart period variabilityEstimatork-nearest neighbors algorithmConditional entropy (CE)Nonlinear systemStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEntropy (information theory)Heart rate variabilitynonlinear analysis methodTime seriescomplexityheart rate variability (HRV)Mathematics
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Clinical Experiences with Clamp Electrodes in Fetal Scalp for Simultaneous pO2 and ECG — Registration

1973

The development of a scalp electrode for continuous measurement of fetal mean tissue-PO2 and simultaneous registration of ECG respectively fetal heart rate has been described previously (1). The electrode mechanics and electronic equipment must be adapted to the various demands of the birth process and the labor room environment. The technical results are not yet refined, when unfavorable conditions prevail, artifacts may be anticipated. A brief review of the proceedings in electrode clamp measurements should be presented.

Continuous measurementFetusFetal heart ratemedicine.anatomical_structureClampComputer scienceScalpElectrodemedicineElectronic equipmentBiomedical engineering
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Effects of differential relevance of external stimuli on heart rate under food deprivation

1972

Ss were deprived of food for 24 h, after which heart rate (HR) was recorded with food placed before the Ss and also after they had eaten it. It was predicted, according to Malmo’s interaction hypothesis, that HR in both situations would be higher than at a control level but that the increase after food ingestion would be greater than that found in the presence of visual cues. The results did not wholly support these predictions. Only after eating were significant HR increases found. Possible reasons for the discrepancies between findings in this area were discussed.

Control levelFood deprivationdigestive oral and skin physiologyHeart ratePhysiologyIngestionGeneral ChemistryPsychologySensory cueCatalysisDevelopmental psychologyPsychonomic Science
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