Title :
ECG signal coding using wavelet transform and binary arithmetic coder
Author :
Nguyen-Phi, Khanh ; Weinrichter, Hans
Author_Institution :
Vienna Univ. of Technol., Austria
Abstract :
A new system for ECG compression using the discrete wavelet transform (DWT) is presented. We propose a new method to code the quantized wavelet coefficients. This way of coding exploits both the sparseness and the self-similarity amongst the subbands. It helps to increase the performance compared to other methods also based on the wavelet transform. On average, a compression ratio of more than 10 can be attained with a PRD less than 4%
Keywords :
arithmetic codes; data compression; electrocardiography; medical signal processing; transform coding; wavelet transforms; DWT; ECG compression; ECG signal coding; binary arithmetic coder; compression ratio; discrete wavelet transform; performance; quantized wavelet coefficients; self-similarity; sparseness; subbands; wavelet transform; Arithmetic; Cardiology; Data compression; Discrete wavelet transforms; Electrocardiography; Entropy; Fourier transforms; Karhunen-Loeve transforms; Signal processing; Wavelet transforms;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652208
