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Proceedings Paper

Improved wavelet-packet compression of electrocardiogram data II: coding of compressor output and QRS clustering
Author(s): Brian D. Bradie
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Paper Abstract

Two modifications to a wavelet packet based compression scheme for single lead electrocardiogram data have been tested for their effect upon compression performance. First, differential pulse code modulation and an adaptive arithmetic coder wee implemented to improve the coding of the major components of compressor output. The improved strategies produced a 17 percent reduction in average data rate; since all techniques were lossless, there was no effect on the quality of the reconstructed signals. Second, 'QRS clustering' was incorporated into the preprocessing stage of the algorithm. Beats of similar structure were grouped, and a separate average, vector was maintained for the dominant and non-dominant beat types found in the signal. Beat similarity was quantified using a combination of linear correlation and average, absolute, point-by-point difference. A significant reduction in coefficient data rate was anticipated; however, for the test cases used in this study, a slight increase in coefficient data rate was produced.

Paper Details

Date Published: 23 October 1996
PDF: 10 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255305
Show Author Affiliations
Brian D. Bradie, Christopher Newport Univ. (United States)

Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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