Search results for "Variability"

showing 10 items of 904 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)
researchProduct

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
researchProduct

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
researchProduct

Statistical Methods for the Geographical Analysis of Rare Diseases

2010

In this chapter we provide a summary of different methods for the detection of disease clusters. First of all, we give a summary of methods for computing estimates of the relative risk. These estimates provide smoothed values of the relative risks that can account for its spatial variation. Some methods for assessing spatial autocorrelation and general clustering are also discussed to test for significant spatial variation of the risk. In order to find the actual location of the clusters, scan methods are introduced. The spatial scan statistic is discussed as well as its extension by means of Generalised Linear Models that allows for the inclusion of covariates and cluster effects. In this …

Computer scienceScan statisticStatisticsCovariateLinear modelZero-inflated modelSpatial variabilityContext (language use)Cluster analysisSpatial analysis
researchProduct

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)
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

A population genetic study of the endangered plant speciesLimonium dufourii(Plumbaginaceae) based on amplified fragment length polymorphism (AFLP)

1999

Limonium dufourii (Plumbaginaceae) is a triploid species with obligate apomictic reproduction and is endemic to the East Mediterranean coast of Spain, where it is present in only six populations, most of which have a very low number of individuals. Genetic variation and population structure in this species was studied using amplified fragment length polymorphisms (AFLPs) as markers, using the same individuals as in a previous study with random amplified polymorphic DNA (RAPD). Three different primers provided 252 bands of which 51 were polymorphic among the 152 individuals analysed. Those polymorphic bands were able to define 65 different phenotypes, of which all but two were present in onl…

Conservation geneticsGeneticseducation.field_of_studybiologyLimoniumPopulationfood and beveragesbiology.organism_classificationRAPDDNA profilingGenetic variationGeneticsAmplified fragment length polymorphismGenetic variabilityeducationEcology Evolution Behavior and SystematicsMolecular Ecology
researchProduct

Variabilidad en la utilización de antihipertensivos entre las zonas básicas de salud de la Comunidad Valenciana

2010

ResumenObjetivosEstimar el consumo de cinco subgrupos terapéuticos empleados en el tratamiento de la hipertensión arterial en las zonas básicas de salud (ZBS) de la Comunidad Valenciana, y analizar sus variaciones.MétodosEstudio ecológico, descriptivo, del consumo de antihipertensivos en las ZBS de la Comunidad Valenciana en el año 2005, seguido de análisis de la variabilidad observada. Se estudiaron las 239 ZBS existentes mediante un análisis descriptivo de consumo (dosis diarias definidas [DDD] por 1.000 habitantes y día en pensionistas [DDD/1.000p/día] o activos [DDD/1.000a/día]) y razones estandarizadas de utilización. Para el análisis de la variabilidad se utilizaron los estadísticos d…

Consumption (economics)education.field_of_studyDrug consumptionDescriptive statisticsbusiness.industryPharmacoepidemiologyPopulationPublic Health Environmental and Occupational HealthPrimary careConsumo de medicamentosequipment and suppliesAnálisis de áreas pequeñasDefined daily doseFarmacoepidemiologíaHypertensionHipertensiónMedicineVariabilitybusinesseducationSmall-area analysisDemographyVariabilidad
researchProduct