An Approach to QRS Complex Detection Based on Multiscale Mathematical Morphology

被引：5

作者：

Hu, Ji-Le ^{[1
]}

Bao, Shu-Di ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Inst Biomed & Hlth Engn, Shenzhen 518055, Peoples R China

来源：

2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7 | 2010年

关键词：

electrocardiograph (ECG); feature detection; mathematical morphology;

D O I：

10.1109/BMEI.2010.5640077

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Accurate detection of electrocardiograph feature points is always critical for medical decision-making. A newly developed multi-scale mathematical morphology and its use in QRS complex detection was studied in this paper. It was found that the existing multi-scale mathematical morphology has a problem of a significant shift in feature points positioning. Aiming for exact position detection of feature points, an improved approach based on the concept of multi-scale mathematical morphology is proposed in this study. Experimental results show a much smaller shift in point positioning, and thus demonstrate the effectiveness of the proposed approach.

引用

页码：725 / 729

页数：5

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