ROC Analysis and a Realistic Model of Heart Rate Variability

Details ROC Analysis and a Realistic Model of Heart Rate Variability ROC Analysis and a Realistic Model of Heart Rate Variability

1998-06-19

arxiv.org/abs/chao-dyn/9806022v1

Nonlinear Sciences

Chaotic Dynamics

5 pages, 3 ps figures

Scientific paper

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 receiver-operating-characteristic (ROC) analysis. The scale-dependent wavelet-coefficient standard deviation \sigma_{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.

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