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Fractal behavior of the electrocardiogram: distinguishing heart-failure and normal patients using wavelet analysis

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1 Author(s)
Teich, Malvin C. ; Dept. of Biomed. Eng., Boston Univ., MA, USA

Heart-failure patients can be identified by computing certain statistics of the sequence of heartbeats, such as the Allan factor (AF) and its generalization, the wavelet Allan factor (WAF). These measures successfully determine whether a given patient suffers from heart failure or not. They succeed because they are jointly sensitive to both short-term, and long-term fractal, characteristics of the heartbeat time series

Published in:

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE  (Volume:3 )

Date of Conference:

31 Oct-3 Nov 1996