A new nonlinear transform for IFS compression of ECG and other signals

Author

Huang, B. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

3

fYear

2001

fDate

2001

Firstpage

2196

Abstract

Presents a nonlinear extension of the affine transform as used in the iterated function systems (IFS) to compress signals and data. Compared with Oien and Narstad´s orthogonal transform with compression ratio of 6.0:1 for the electrocardiogram (ECG) signal, the nonlinear approach produces higher compression ratios of 10.2:1, and is more flexible in finding the corresponding strange attractor of the ECG signal. It can model the QRS complex of the ECG signal well, which has been a problem for the affine transform in fractal compression.

Keywords

data compression; electrocardiography; fractals; iterative methods; medical signal processing; signal reconstruction; transforms; ECG signals; IFS compression; QRS complex; affine transform; corresponding strange attractor; electrocardiogram; fractal compression; higher compression ratios; iterated function systems; nonlinear extension; nonlinear transform; signal compression; Computational complexity; Convergence; Data compression; Discrete transforms; Electrocardiography; Fractals; Image coding; Image reconstruction; Laboratories; Speech;

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.2001.1017207

Filename

1017207