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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770199
