Adaptive Sampling for ECG Detection Based on Compression Dictionary

被引：1

作者：

Yuan, Zhongyun ^{[1
]}

Kim, Jong Hak ^{[1
]}

Cho, Jun Dong ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea

来源：

JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | 2013年 / 13卷 / 06期

基金：

新加坡国家研究基金会;

关键词：

Adaptive sampling; ECG; redundant processing; dictionary-based compression; FPGA;

D O I：

10.5573/JSTS.2013.13.6.608

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 presents an adaptive sampling method for electrocardiogram (ECG) signal detection. First, by employing the strings matching process with compression dictionary, we recognize each segment of ECG with different characteristics. Then, based on the non-uniform sampling strategy, the sampling rate is determined adaptively. As the results of simulation indicated, our approach reconstructed the ECG signal at an optimized sampling rate with the guarantee of ECG integrity. Compared with the existing adaptive sampling technique, our approach acquires an ECG signal at a 30% lower sampling rate. Finally, the experiment exhibits its superiority in terms of energy efficiency and memory capacity performance.

引用

页码：608 / 616

页数：9

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