Polynomial vector quantization for ECG compression

被引：0

作者：

Rahman, M. E. ^{[1
]}

Haque, M. A. ^{[1
]}

机构：

[1] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka 1000, Bangladesh

来源：

PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING | 2007年

关键词：

vector quantization; slope space; polynomial; ECG compression;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper demonstrates a novel method of compressing Electrocardiogram (ECG) that uses a specially designed vector quantization (VQ) codebook. Codebook having different types of polynomials such as straight line, second order, fourth order and ECG segment approximated is generated and applied to the ECG of MIT-BIH database. The results show that a compression ratio of about 70 is achievable at a low PRD (percent of root-mean-square difference) of 2.10. The proposed method outperforms many recently published ones.

引用

页码：641 / 646

页数：6

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