心电图的小波和小波包压缩

Wavelet and wavelet packet compression of electrocardiograms.

作者信息

Hilton M L

机构信息

Department of Computer Science, University of South Carolina, Columbia 29208, USA.

出版信息

IEEE Trans Biomed Eng. 1997 May;44(5):394-402. doi: 10.1109/10.568915.

DOI:10.1109/10.568915

PMID:9125824

Abstract

Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG's are clinically useful.

摘要

小波和小波包最近已成为信号压缩的强大工具。基于嵌入式零树小波（EZW）编码的基于小波和小波包的压缩算法被开发用于心电图（ECG）信号，并且评估了八种不同小波压缩动态心电图（Holter）数据的能力。心脏病专家对压缩心电图进行盲法评估的试验数据表明，原始心电图信号中存在的临床有用信息在8:1压缩率下得以保留，并且在大多数情况下，16:1压缩的心电图在临床上是有用的。