ROC Analysis and a Realistic Model of Heart Rate Variability

We 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 receiveroperating-characteristic (ROC) analysis. The scale-dependent wavelet-coefficient standard deviation σwav(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. PACS number(s): 87.10.+e, 87.80.+s, 87.90.+y