ECG signal conditioning by morphological filtering

被引：178

作者：

Sun, Y ^{[1
]}

Chan, KL ^{[1
]}

Krishnan, SM ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Biomed Engn Res Ctr, Singapore 639798, Singapore

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2002年 / 32卷 / 06期

关键词：

ECG; signal conditioning; baseline correction; noise suppression; morphological filtering;

D O I：

10.1016/S0010-4825(02)00034-3

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Clinically obtained electrocardiographic (ECG) signals are often contaminated with different types of noise and baseline drifting commonly occurs. In order to facilitate automated ECG analysis, signal conditioning is undoubtedly a necessity, In this paper, a modified morphological filtering (MMF) technique is used for signal conditioning in order to accomplish baseline correction and noise suppression with minimum signal distortion. Compared with existing methods for ECG signal conditioning, MMF performs well in terms of the filtering characteristics, low signal distortion ratio, low computational burden as well as good noise suppression ratio and baseline correction ratio. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：465 / 479

页数：15

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