Abstract
We applied multiresolution wavelet analysis to the sequence of times between human heartbeats ( intervals) and have found a scale window, between 16 and 32 heartbeat intervals, over which the widths of the 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 belonging either to the heart-failure or normal group with 100% accuracy, thereby providing a clinically significant measure of the presence of heart failure from the intervals alone. Comparison is made with previous approaches, which have provided only statistically significant measures.
- Received 13 June 1997
DOI:https://doi.org/10.1103/PhysRevLett.80.1544
©1998 American Physical Society