Title :
Vector quantization of ECG wavelet coefficients
Author :
Anant, Kanwaldip ; Dowla, Farid ; Rodrigue, Garry
Author_Institution :
Dept. of Appl. Sci., California Univ., Davis, CA, USA
fDate :
7/1/1995 12:00:00 AM
Abstract :
An improved wavelet compression algorithm for ECG signals has been developed with the use of vector quantization on wavelet coefficients. Vector quantization on scales of long duration and low dynamic range retains feature integrity of the ECG with a very low bit-per-sample rate. Preliminary results indicate that the proposed method excels over standard techniques for high fidelity compression.<>
Keywords :
electrocardiography; medical signal processing; vector quantisation; wavelet transforms; ECG wavelet coefficients; biomedical signal processing; high fidelity compression; long duration scales; low dynamic range; vector quantization; very low bit-per-sample rate; wavelet compression algorithm; Biomedical signal processing; Compression algorithms; Discrete wavelet transforms; Distortion; Dynamic range; Electrocardiography; Filters; Laboratories; Vector quantization; Wavelet coefficients;
Journal_Title :
Signal Processing Letters, IEEE
