ROC Analysis and a Realistic Model of Heart Rate Variability

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dc.creatorThurner, Stefan
dc.creatorFeurstein, Markus C.
dc.creatorTeich, Malvin C.
dc.date1998-06-19
dc.date.accessioned2026-07-07T02:35:27Z
dc.date.available2026-07-07T02:35:27Z
dc.descriptionWe have carried out a pilot study on a standard collection of electrocardiograms from patients who suffer from congestive heart failure, and subjects without cardiac pathology, using receiver-operating-characteristic (ROC) analysis. The scale-dependent wavelet-coefficient standard deviation σ_{wav}(m), a multiresolution-based analysis measure, is found to be superior to two commonly used measures of cardiac dysfunction when the two classes of patients cannot be completely separated. A jittered integrate-and-fire model with a fractal Gaussian-noise kernel provides a realistic simulation of heartbeat sequences for both heart-failure patients and normal subjects.
dc.description5 pages, 3 ps figures
dc.identifierhttps://arxiv.org/abs/chao-dyn/9806022
dc.identifierhttp://arxiv.org/abs/chao-dyn/9806022
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/15620
dc.subjectChaotic Dynamics
dc.subjectQuantitative Biology
dc.titleROC Analysis and a Realistic Model of Heart Rate Variability
dc.typetext

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