Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1997-11-26
Pysical Review Letters, Volume 80, Number 7, 1544-1547 (1998).
Nonlinear Sciences
Adaptation and Self-Organizing Systems
5 pages, 4 figures, to appear in Phys. Rev. Letters
Scientific paper
10.1103/PhysRevLett.80.1544
We applied multiresolution wavelet analysis to the sequence of times between human heartbeats (R-R intervals) and have found a scale window, between 16 and 32 heartbeats, over which the widths of the R-R wavelet coefficients fall into disjoint sets for normal and heart-failure patients. This has enabled us to correctly classify every patient in a standard data set as either belonging to the heart-failure or normal group with 100% accuracy, thereby providing a clinically significant measure of the presence of heart-failure from the R-R intervals alone. Comparison is made with previous approaches, which have provided only statistically significant measures.
Feurstein Markus C.
Teich Malvin Carl
Thurner Stefan
No associations
LandOfFree
Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-503500