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Multiresolution Wavelet Analysis of Heartbeat Intervals Discriminates Healthy Patients from Those with Cardiac Pathology

Stefan Thurner, Markus C. Feurstein, and Malvin C. Teich
Phys. Rev. Lett. 80, 1544 – Published 16 February 1998
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Abstract

We applied multiresolution wavelet analysis to the sequence of times between human heartbeats ( RR intervals) and have found a scale window, between 16 and 32 heartbeat intervals, over which the widths of the RR 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 RR 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

Authors & Affiliations

Stefan Thurner1, Markus C. Feurstein1, and Malvin C. Teich1,2,*

  • 1Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215
  • 2Departments of Physics and Biomedical Engineering, Boston University, Boston, Massachusetts 02215

  • *To whom correspondence should be addressed. Electronic address: teich@bu.edu; http://ece.bu.edu/ECE/faculty/homepages/teich.html/

See Also

Separating the Good Hearts from the Bad

Phys. Rev. Focus 2, 12 (1998)

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Issue

Vol. 80, Iss. 7 — 16 February 1998

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