Filter bank design for subband ECG compression

Author

Aase, Sven Ole

Author_Institution

Dept. of Electr. & Comput. Eng., Stavanger Coll., Norway

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1382

Abstract

This article considers filter banks for subband coding of discrete time electrocardiogram (ECG) signals. A parallel FIR filter bank is optimized and compared with a classic tree-structured filter bank. Ringing noise is reduced by restricting the filter response lengths. Coding experiments show visual improvements of the reconstructed ECG waveforms, and a decrease in signal distortion from 0.6 to 0.8 56 PRD compared to the reference filter bank

Keywords

FIR filters; Huffman codes; data compression; electrocardiography; entropy codes; medical signal processing; quantisation (signal); runlength codes; decorrelation; decreased signal distortion; discrete time ECG signals; filter bank design; filter response length; parallel FIR filter bank; quantization; reconstructed ECG waveforms; reduced ringing noise; runlength coding; subband ECG compression; subband coding; tree-structured filter bank; visual improvement; Acoustic noise; Bit rate; Data compression; Electrocardiography; Filter bank; Finite impulse response filter; Heart beat; Image coding; Image reconstruction; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647465

Filename

647465