Title :
ECG signal compression using classified gain-shape vector quantisation in the wavelet transform domain
Author :
Soraghan, J.J. ; Voukelatos, S. ; Boulo, P.
Author_Institution :
Strathclyde Univ., Glasgow, UK
Abstract :
Presents a new wavelet transform based classified vector quantisation ECG compression system. The use of the wavelet transform facilitates the design of optimal codebooks for various subband components of the signal. The conventional QRS detection process associated with many compression methods is replaced by a simple novel subband energy classification scheme in the design of optimal codebooks. The system codebooks and performance characteristics presented here use data taken from the MIT BIH ECG database.
Keywords :
electrocardiography; medical signal processing; vector quantisation; wavelet transforms; ECG signal compression; MIT BIH ECG database; classified gain-shape vector quantisation; optimal codebooks; signal subband components; wavelet transform domain; Artificial neural networks; Databases; Discrete wavelet transforms; Electrocardiography; Frequency; Rate distortion theory; Signal design; Vector quantization; Wavelet domain; Wavelet transforms;
Conference_Titel :
Computers in Cardiology 1995
Conference_Location :
Vienna, Austria
Print_ISBN :
0-7803-3053-6
DOI :
10.1109/CIC.1995.482663
