基于直流均衡和复杂度排序的心电图信号压缩

ECG signal compression based on Dc equalization and complexity sorting.

作者信息

Filho Eddie B L, Rodrigues Nuno M M, da Silva Eduardo A B, de Faria Sérgio M M, da Silva Vitor M M, de Carvalho Murilo B

机构信息

Centro de Ciência, Tecnologia e Inovação do Pólo Industrial de Manaus, Manaus-AM 69057-040, Brazil.

出版信息

IEEE Trans Biomed Eng. 2008 Jul;55(7):1923-6. doi: 10.1109/TBME.2008.919880.

DOI:10.1109/TBME.2008.919880

PMID:18595813

Abstract

In this brief, we present new preprocessing techniques for electrocardiogram signals, namely, dc equalization and complexity sorting, which when applied can improve current 2-D compression algorithms. The experimental results with signals from the Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) database outperform the ones from many state-of-the-art schemes described in the literature.

摘要

在本简报中，我们提出了用于心电图信号的新预处理技术，即直流均衡和复杂度排序，应用这些技术可以改进当前的二维压缩算法。使用来自麻省理工学院 - 贝斯以色列女执事医疗中心（MIT - BIH）数据库的信号进行的实验结果优于文献中描述的许多现有先进方案。