A Wavelet-Based ECG Compression Algorithm Using Golomb Codes

摘要：

A new wavelet-based method for the compression of electrocardiogram (ECG) data is presented. The discrete wavelet transform (DWT) is applied to the digitized ECG signal. The DWT coefficients are firstly quantized with a uniform scalar dead zone quantizer. Then, the quantized coefficients are decomposed into two parts for efficient entropy coding: a nonzero coefficient stream and a binary significance symbol stream which indicates the locations of those nonzero coefficients. 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 signal compression algorithms.

作者: Jianhua Chen Jun Ma Yufeng Zhang Xinling Shi

作者单位: Department of Electronic Engineering Yunnan University Kunming, P.R.China 650091

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 130-133

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）