Computers in cardiology · 2003 · 13 citations · 8 references
MedicineBiomedical EngineeringCardiologyBiomedical Signal ProcessingElectrophysiologyTime Series AnalysisCardiac Signal ProcessingElectrocardiogram AnalysisElectrocardiographySignal DetectionSignal Detection TheorySignal EvaluationRayleigh CriterionStatistical TestingT Wave AbnormalitiesT Wave AnalysisT Wave DetectionT-testTime-frequency Analysis Of ElectrocardiogramsWave Event Detection
Detection of T wave alternans is constructed as a statistical problem in the present work. The objective was to evaluate the performance of a group of statistical tests in detecting a set of artificially generated alternans episodes and in the European ST (EST) database. Three statistical tests, standard t-test, matched pair t-test, and Rayleigh test, were performed on numerically generated sequences and also on simulated alternans episodes in a rolling sequence of 32 beats. Application of statistical tests to the numerical simulations and beat simulations resulted in 100% detection accuracy. Statistical tests also detected multiple episodes of both visible and invisible alternans in the EST database. Statistical tests seem to provide a complementary and a computationally efficient solution to alternans detection problem in surface ECG.
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Medicine, Cardiology, Physiology +17