0000000000394236

AUTHOR

Roberto Maestri

showing 2 related works from this author

An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to 24 h Hol…

2007

We propose an integrated approach based on uniform quantization over a small number of levels for the evaluation and characterization of complexity of a process. This approach integrates information-domain analysis based on entropy rate, local nonlinear prediction, and pattern classification based on symbolic analysis. Normalized and non-normalized indexes quantifying complexity over short data sequences (∼300 samples) are derived. This approach provides a rule for deciding the optimal length of the patterns that may be worth considering and some suggestions about possible strategies to group patterns into a smaller number of families. The approach is applied to 24 h Holter recordings of …

Cardiac outputDaytimeCardiac Output LowGeneral Physics and AstronomyRisk AssessmentSensitivity and SpecificityPhysics and Astronomy (all)Heart RateReference ValuesRisk FactorsOscillometryStatisticsHeart ratemedicineMathematical PhysicHumansCircadian rhythmDiagnosis Computer-AssistedMathematical PhysicsEntropy rateMathematicsmedicine.diagnostic_testApplied MathematicsReproducibility of ResultsStatistical and Nonlinear PhysicsSignal Processing Computer-AssistedIntegrated approachmedicine.diseasePrognosisSystems IntegrationHeart failureElectrocardiography AmbulatoryAlgorithmElectrocardiographyAlgorithmsStatistical and Nonlinear PhysicChaos (Woodbury, N.Y.)
researchProduct

Surrogate Data Analysis for Assessing the Significance of the Coherence Function

2004

In cardiovascular variability analysis, the significance of the coupling between two time series is commonly assessed by setting a threshold level in the coherence function. While traditionally used statistical tests consider only the parameters of the adopted estimator, the required zero-coherence level may be affected by some features of the observed series. In this study, three procedures, based on the generation of surrogate series sharing given properties with the original but being structurally uncoupled, were considered: independent identically distributed (IID), Fourier transform (FT), and autoregressive (AR). IID surrogates maintained the distribution of the original series, while …

Myocardial InfarctionBiomedical EngineeringBlood PressureSurrogate dataSpectral analysisymbols.namesakeHeart RateStatisticsCoherence functionHumansCoherence (signal processing)Computer SimulationStatistical physicsCoupling significanceSpurious relationshipMathematicsStatistical hypothesis testingRespirationModels CardiovascularSpectral densityEstimatorCardiovascular variabilityFourier transformAutoregressive modelData Interpretation StatisticalsymbolsRegression AnalysisSurrogate dataAlgorithmsIEEE Transactions on Biomedical Engineering
researchProduct