DocumentCode
3080666
Title
Wavelet based ECG image compression
Author
Aziz, Tareq ; Haque, M.A.
Author_Institution
Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol., Bangladesh
fYear
2005
fDate
2-4 Nov. 2005
Firstpage
731
Lastpage
734
Abstract
The aim of our paper is to examine a set of wavelet functions for implementation in an electrocardiogram (ECG) image compression system. Eight different wavelets are evaluated for their ability to compress ECG as image. Image quality is compared objectively using mean square error (MSE) and peak signal to noise ratio (PSNR) along with visual appearance. Results show that clinically useful information in original ECG image is preserved by 15:1 compression and in some cases 20:1 compression is clinically useful.
Keywords
data compression; electrocardiography; image coding; mean square error methods; medical image processing; wavelet transforms; ECG image compression; MSE; electrocardiogram; image quality; mean square error; peak signal to noise ratio; wavelet functions; Biomedical imaging; Discrete wavelet transforms; Electrocardiography; Frequency; Image analysis; Image coding; Image resolution; Medical diagnostic imaging; PSNR; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
ISSN
1520-6130
Print_ISBN
0-7803-9333-3
Type
conf
DOI
10.1109/SIPS.2005.1579961
Filename
1579961
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