DocumentCode :
1994183
Title :
New domain block partitioning based on complexity measure of ECG
Author :
Huang, B. ; Kinsner, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1561
Abstract :
This paper introduces a new domain block partitioning scheme for a nonlinear iterated function systems (NIFS) compression of electrocardiogram (ECG) signals, based on their complexity measure. The idea behind the scheme is based on the multifractal characteristics of the ECG signal. The partitioning is intended to reduce the time-consuming inverse problem in fractal compression. The proposed technique gives computational complexity of O(N) for a time series with length N. The segmented NIFS achieves a compression ratio of 8.8:1 under a distortion error of 5.8%, as compared to that of 6.0:1 obtained by Olen and Narstad´s orthogonal transform.
Keywords :
computational complexity; data compression; electrocardiography; fractals; inverse problems; iterative methods; medical signal processing; signal sampling; time series; Nyquist sampling; affine transform; complexity measure; data compression; digital signal; discrete signal; distortion error; domain block partitioning; electrocardiogram signals; inverse problem; line fitting; log-log plot; multifractal characteristics; nonlinear iterated function systems compression; random discrete process; time series; variance fractal dimension trajectory; Computational complexity; Data compression; Distortion measurement; Electric variables measurement; Electrocardiography; Fractals; Image coding; Laboratories; Nonlinear distortion; Optimal matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020509
Filename :
1020509
Link To Document :
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