Title :
ECG compression based on wavelet transform and Golomb coding
Author :
Chen, J. ; Ma, J. ; Zhang, Y. ; Shi, X.
Author_Institution :
Dept. of Electron. Eng., Yunnan Univ., Kunming, China
fDate :
3/16/2006 12:00:00 AM
Abstract :
A new wavelet-based ECG compression method is presented. Wavelet transform coefficients are quantised with a uniform scalar dead zone quantiser. The Exp-Golomb coding is used to code the lengths of runs of the zero coefficients. The Golomb-Rice coding is used to code the nonzero coefficients. Experiments on several records from the MIT-BIH arrhythmia database show that the proposed coding algorithm outperforms other recently developed ECG compression algorithms.
Keywords :
data compression; electrocardiography; medical signal processing; transform coding; wavelet transforms; ECG compression algorithms; Exp-Golomb coding; Golomb-Rice coding; MIT-BIH arrhythmia database; wavelet transform;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20063812