DocumentCode
339076
Title
Optimization of lifting wavelet filters for ECG data compression
Author
Kuzume, Koichi ; Niijima, Koichi
Author_Institution
Dept. of Inf. Eng., Yuge Nat. Coll. of Technol., Ehime, Japan
fYear
1998
fDate
1998
Firstpage
249
Abstract
This paper presents a new method to design wavelet filters optimized for electrocardiogram (ECG) data compression. The feature of these filters, called adaptive lifting wavelet filters, is to set the variance of distribution of wavelet coefficients to a small value, adapting to the ECG signals. The designed filters are almost compactly supported and perfect reconstruction
Keywords
adaptive filters; adaptive signal processing; data compression; electrocardiography; filtering theory; medical signal processing; optimisation; probability; signal reconstruction; wavelet transforms; ECG; adaptive lifting wavelet filters; data compression; distribution variance; electrocardiogram; optimization; perfect reconstruction; Adaptive filters; Data compression; Data engineering; Design engineering; Design methodology; Discrete wavelet transforms; Educational institutions; Electrocardiography; Spline; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770199
Filename
770199
Link To Document