Physics – Biological Physics
Scientific paper
2000-08-07
Nonlinear Biomedical Signal Processing, Vol. II, Dynamic Analysis and Modeling; edited by M. Akay (IEEE Press, New York, 2001)
Physics
Biological Physics
64 pages, 13 figures
Scientific paper
We focus on various measures of the fluctuations of the sequence of intervals between beats of the human heart, and how such fluctuations can be used to assess the presence or likelihood of cardiovascular disease. We examine sixteen such measures and their suitability for correctly classifying heartbeat records of various lengths as normal or revealing the presence of cardiac dysfunction, particularly congestive heart failure. Using receiver-operating-characteristic analysis we demonstrate that scale-dependent measures prove substantially superior to scale-independent ones. The wavelet-transform standard deviation at a scale near 32 heartbeat intervals, and its spectral counterpart near 1/32 cycles/interval, turn out to provide reliable results using heartbeat records just minutes long. We further establish for all subjects that the human heartbeat has an underlying stochastic origin rather than arising from a chaotic attractor. Finally, we develop a mathematical point process that emulates the human heartbeat time series for both normal subjects and heart-failure patients.
Heneghan Conor
Jost Bradley M.
Lowen Steven B.
Teich Malvin Carl
Vibe-Rheymer Karin
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