Search results for "STATISTICS"

showing 10 items of 7671 documents

Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.

2005

A nonlinear prediction method for investigating the dynamic interdependence between short length time series is presented. The method is a generalization to bivariate prediction of the univariate approach based on nearest neighbor local linear approximation. Given the input and output series x and y, the relationship between a pattern of samples of x and a synchronous sample of y was approximated with a linear polynomial whose coefficients were estimated from an equation system including the nearest neighbor patterns in x and the corresponding samples in y. To avoid overfitting and waste of data, the training and testing stages of the prediction were designed through a specific out-of-sampl…

Bivariate time seriePhysics::Medical PhysicsBiomedical EngineeringBlood PressureBivariate analysisOverfittingCross-validationk-nearest neighbors algorithmCardiovascular Physiological PhenomenaHealth Information ManagementHeart RateTilt-Table TestStatisticsApplied mathematicsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsHealth InformaticBaroreflex controlSystolic arterial pressure variabilityUnivariateModels CardiovascularNonlinear predictionComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemComputational Theory and MathematicsNonlinear DynamicsLinear approximationMedicalbiological engineeringcomputing
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Advances in blind source separation for spatial data

2021

Viele Datensaetze bestehen aus multivariaten Messungen, die an verschiedenen geographischen Orten durchgefuehrt wurden. Typischerweise besitzen solche Datensaetze die Eigenschaft, dass Messungen in unmittelbarer Naehe aehnlicher sind als Messungen, die eine hohe Entfernung aufweisen. In der statistischen Analyse solcher raeumlichen Daten sollte diese spezielle Eigenschaft beruecksichtigt werden. In letzter Zeit wurde in der statistischen Literatur die sogenannte Blind Source Separation Methode auf raeumliche Daten erweitert. In diesem Model wird angenommen, dass die Daten aus Linearkombinationen von unbeobachteten Variablen bestehen, und das Ziel ist diese latenten Variablen zu bestimmen. D…

Blind Source Separationmultivariate analysisraeumliche StatistikLatentes Variablen Modelllatent variable modelMultivariate AnalyseGeostatisticsGeostatistikspatial statistics
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On the Statistical Properties of Capacity Outage Intervals in OSTBC-MIMO Rayleigh Fading Channels

2016

This paper deals mainly with the study of the asymptotic probability density functions (PDFs) of the outage durations of the instantaneous capacity of orthogonal space-time block code (OSTBC) multiple-input multiple-output (MIMO) systems over Rayleigh channels. Drawing upon known statistical properties for the asymptotic behavior of chi-squared processes at low levels, we provide approximate solutions for the PDF, the cumulative distribution function (CDF), and the $k$ th-order moments of the outage intervals of the underlying capacity processes. Then, as an application of the derived PDF, the performance assessment of capacity simulators is reported. Following this, we introduce the newly …

Block codeAsymptotic analysisStochastic processApplied MathematicsCumulative distribution functionMIMO020302 automobile design & engineering020206 networking & telecommunicationsProbability density function02 engineering and technologyComputer Science ApplicationsChannel capacity0203 mechanical engineeringStatistics0202 electrical engineering electronic engineering information engineeringApplied mathematicsElectrical and Electronic EngineeringComputer Science::Information TheoryRayleigh fadingMathematicsIEEE Transactions on Wireless Communications
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An asymptotic approximate solution to the distribution of the capacity outage intervals in OSTBC-MIMO Rayleigh fading channels

2013

This paper deals with the study of asymptotic probability density functions (PDFs) of the outage durations of the instantaneous capacity (also referred to as the mutual information) in orthogonal space-time block code (OSTBC) transceiver systems over multiple-input multiple-output (MIMO) Rayleigh fading channels. The Rayleigh fading subchannels are assumed to be frequency-nonselective and mutually uncorrelated, whereas the associated Doppler power spectral density is supposed to be symmetric about the origin. In addition, the channel state information (CSI) is considered to be available only at the receiver side. Taking these assumptions into account, and drawing upon known statistical prop…

Block codeChannel capacityApproximation theoryChannel state informationStatisticsMIMOProbability distributionApplied mathematicsProbability density functionComputer Science::Information TheoryMathematicsRayleigh fading2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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The Influence of Spatial Correlation and Severity of Fading on the Statistical Properties of the Capacity of OSTBC Nakagami-m MIMO Channels

2009

This paper deals with the analysis of statistical prop- erties of the capacity of spatially uncorrelated orthogonal space- time block coded (OSTBC) Nakagami-m multiple-input multiple- output (MIMO) channels. We have derived exact closed-form expressions for the probability density function (PDF), cumula- tive distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. We have also investigated the statistical properties of the approximated capacity of spatially correlated OSTBC Nakagami-m MIMO channels. The results are studied for different values of the fading parameter m, corresponding to different fading conditions. It is observed …

Block codeSpatial correlationCumulative distribution functionMIMONakagami distributionProbability density functionChannel capacityChannel codingChannel capacityVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552StatisticsMIMO communicationFadingComputer Science::Information TheoryMathematicsVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
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Modified locally weighted—Partial least squares regression improving clinical predictions from infrared spectra of human serum samples

2012

Locally weighted partial least squares regression (LW-PLSR) has been applied to the determination of four clinical parameters in human serum samples (total protein, triglyceride, glucose and urea contents) by Fourier transform infrared (FTIR) spectroscopy. Classical LW-PLSR models were constructed using different spectral regions. For the selection of parameters by LW-PLSR modeling, a multi-parametric study was carried out employing the minimum root-mean square error of cross validation (RMSCV) as objective function. In order to overcome the effect of strong matrix interferences on the predictive accuracy of LW-PLSR models, this work focuses on sample selection. Accordingly, a novel strateg…

Blood GlucoseAnalyteChemistryBlood ProteinsCross-validationAnalytical ChemistryChemometricsMatrix (chemical analysis)symbols.namesakeFourier transformSpectroscopy Fourier Transform InfraredPartial least squares regressionPrincipal component analysisStatisticssymbolsHumansUreaLeast-Squares AnalysisFourier transform infrared spectroscopyBiological systemTriglyceridesTalanta
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Effects of Polyphenol, Measured by a Biomarker of Total Polyphenols in Urine, on Cardiovascular Risk Factors After a Long-Term Follow-Up in the PREDI…

2016

Several epidemiological studies have shown an inverse association between the consumption of polyphenol-rich foods and risk of cardiovascular diseases. However, accuracy and reliability of these studies may be increased using urinary total polyphenol excretion (TPE) as a biomarker for total polyphenol intake. Our aim was to assess if antioxidant activity, measured by a Folin-Ciocalteu assay in urine, is correlated with an improvement in cardiovascular risk factors (blood pressure and serum glucose, cholesterol, HDL-cholesterol, LDL-cholesterol, and triglyceride concentrations) in an elderly population at high risk. A longitudinal study was performed with 573 participants (aged 67.3 ± 5.9) f…

Blood GlucoseMale0301 basic medicineAgingSistema cardiovascular -- MalaltiesBlood PressureUrine030204 cardiovascular system & hematologyBiochemistryGastroenterologychemistry.chemical_compound0302 clinical medicineRisk FactorsPolyphenols in urineLongitudinal StudiesCardiovascular risk factorsAged 80 and overBioquímica y tecnologíalcsh:CytologyConfoundingBiochemical markersGeneral MedicineMiddle AgedMetabolismeBiochemistry and technologyCholesterolCardiovascular diseasesCardiovascular DiseasesPolifenolsMarcadors bioquímicsBiomarker (medicine)FemaleColesterolResearch Articlemedicine.medical_specialtyArticle SubjectUrinary systemNutritional StatusBioquímica i biotecnologiaExcretion03 medical and health sciencesMediterranean cooking:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Medical statisticsInternal medicineCuina mediterràniamedicineMortalitatHumansFood consumptionlcsh:QH573-671MortalityLong-term follow-upTriglyceridesAged030109 nutrition & dieteticsTriglycerideCholesterolbusiness.industryMalalties cardiovascularsCholesterol HDLPolyphenolsPREDIMED studyCholesterol LDLFeeding BehaviorBiomarkerEffects of PolyphenolCell BiologyPressió arterial1942-0900Blood pressureMetabolismchemistryMultivariate AnalysisLinear ModelsbusinessEstadística mèdicaConsum d'alimentsBiomarkersFollow-Up StudiesOxidative Medicine and Cellular Longevity
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Study of Glycemic Variability Through Time Series Analyses (Detrended Fluctuation Analysis and Poincaré Plot) in Children and Adolescents with Type 1…

2016

Time series analysis provides information on blood glucose dynamics that is unattainable with conventional glycemic variability (GV) indices. To date, no studies have been published on these parameters in pediatric patients with type 1 diabetes. Our aim is to evaluate the relationship between time series analysis and conventional GV indices, and glycosylated hemoglobin (HbA1c) levels.This is a transversal study of 41 children and adolescents with type 1 diabetes. Glucose monitoring was carried out continuously for 72 h to study the following GV indices: standard deviation (SD) of glucose levels (mg/dL), coefficient of variation (%), interquartile range (IQR; mg/dL), mean amplitude of the la…

Blood GlucoseMaleAdolescentEndocrinology Diabetes and MetabolismCoefficient of variationMonitoring Ambulatory030209 endocrinology & metabolismStandard deviationYoung Adult03 medical and health sciences0302 clinical medicineEndocrinologyInterquartile rangeStatisticsmedicineHumans030212 general & internal medicineTime seriesChildGlycemicGlycated HemoglobinType 1 diabetesbusiness.industrymedicine.diseaseHypoglycemiaMedical Laboratory TechnologyCross-Sectional StudiesDiabetes Mellitus Type 1Detrended fluctuation analysisPoincaré plotFemalebusinessDiabetes Technology & Therapeutics
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Bone status in adolescents with type 1 diabetes

2010

Aims The aim of the study was to investigate the potential negative impact of type 1 diabetes on bone status of adolescents. Bone status in adolescents with type 1 diabetes was assessed by means of quantitative ultrasound (QUS) and the influence of metabolic control and other diseaserelated and growth variables was analysed. Methods Group I consisted of 99 pubertal (Tanner ≥2) adolescents (49 female), aged 14.3±2.5 years, diabetes duration 4.6±2.3 years. Controls (group II) were 297 children, matched by sex and age, from a healthy population. The influence of glycated haemoglobin (current: HbA1cD; last year’s mean: HbA1cY; whole duration mean: HbA1cT), diabetes duration, percentage of life …

Blood GlucoseMalemedicine.medical_specialtyHbA1cAdolescentEndocrinology Diabetes and Metabolismmedicine.medical_treatmentDiseaseBone and BonesStatistics NonparametricSurveys and QuestionnairesDiabetes mellitusInternal medicineImmunopathologyInternal MedicineHumansMedicineChildChromatography High Pressure LiquidUltrasonographyGlycated HemoglobinAnalysis of VarianceType 1 diabetesbusiness.industryPatient SelectionInsulinPubertymedicine.diseaseAdolescenceQuantitative ultrasoundDiabetes Mellitus Type 1EndocrinologyType 1 diabetesMetabolic control analysisFemaleAnalysis of variancebusinessQuantitative ultrasoundDiabetologia
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A Multiple Local Models Approach to Accuracy Improvement in Continuous Glucose Monitoring

2011

Continuous glucose monitoring (CGM) devices estimate plasma glucose (PG) from measurements in compartments alternative to blood. The accuracy of currently available CGM is yet unsatisfactory and may depend on the implemented calibration algorithms, which do not compensate adequately for the differences of glucose dynamics between the compartments. Here we propose and validate an innovative calibration algorithm for the improvement of CGM performance.CGM data from GlucoDay(®) (A. Menarini, Florence, Italy) and paired reference PG have been obtained from eight subjects without diabetes during eu-, hypo-, and hyperglycemic hyperinsulinemic clamps. A calibration algorithm based on a dynamic glo…

Blood Glucosemedicine.medical_specialtyCalibration (statistics)Endocrinology Diabetes and MetabolismMonitoring Ambulatory030209 endocrinology & metabolismBiosensing TechniquesAccuracy improvementSensitivity and Specificity01 natural sciencesGlobal model03 medical and health sciences0302 clinical medicineEndocrinologyInternal medicineBlood Glucose Self-MonitoringDiabetes MellitusmedicineHumansGlucose dynamicsPlasma glucoseContinuous glucose monitoringbusiness.industryBlood Glucose Self-Monitoring010401 analytical chemistryReproducibility of ResultsPattern recognition0104 chemical sciencesMedical Laboratory TechnologyEndocrinologyCalibration algorithmArtificial intelligencebusinessAlgorithmsDiabetes Technology & Therapeutics
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