Automatic Real-Time ECG Coding Methodology Guaranteeing Signal Interpretation Quality

被引：28

作者：

Alesanco, Alvaro ^{[1
]}

Garcia, Jose ^{[1
]}

机构：

[1] Univ Zaragoza, Commun Technol Grp, Aragon Inst Engn Res, Zaragoza 50018, Spain

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2008年 / 55卷 / 11期

关键词：

Clinical evaluation; ECG coding; Set Partitioning in Hierarchical Trees (SPIHT);

D O I：

10.1109/TBME.2008.2001263

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper introduces a new methodology for compressing ECG signals in an automatic way guaranteeing signal interpretation quality. The approach is based on noise estimation in the ECG signal that is used as a compression threshold in the coding stage. The Set Partitioning in Hierarchical Trees algorithm is used to code the signal in the wavelet domain. Forty different ECG records from two different ECG databases commonly used in ECG compression have been considered to validate the approach. Three cardiologists have participated in the clinical trial using mean opinion score tests in order to rate the signals quality. Results showed that the approach not only achieves very good ECG reconstruction quality but also enhances the visual quality of the ECG signal.

引用

页码：2519 / 2527

页数：9

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