A new approach to QRS segmentation based on wavelet bases and adaptive threshold technique

被引：43

作者：

Madeiro, Joao P. V. ^{[1
]}

Cortez, Paulo C. ^{[1
]}

Oliveira, Francisco I. ^{[1
]}

Siqueira, Robson S. ^{[1
]}

机构：

[1] Univ Fed Ceara, Dept Teleinformat Engn, BR-60455760 Fortaleza, Ceara, Brazil

来源：

MEDICAL ENGINEERING & PHYSICS | 2007年 / 29卷 / 01期

关键词：

electrocardiogram (ECG); QRS complex; wavelet transform (WT); interval between beats (IBB); false positive (FP); false negative (FN);

D O I：

10.1016/j.medengphy.2006.01.008

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, we develop and evaluate a new approach to QRS segmentation based on the combination of two techniques: wavelet bases and adaptive threshold. Firstly, QRS complexes are identified without a preprocessing stage. Then, each QRS is segmented by identifying the complex onset and offset. We evaluated the algorithm on two manually annotated databases, the QT-database and the MIT-BIH Arrhythmia database. The QRS detector obtained a sensitivity of 99.02% and a positive predictivity of 99.35% over the first lead of the validation databases (more than 192,000 beats), while for the QT-database, values larger than 99.6% were attained. As for the delineation of the QRS complex, the mean and the standard deviation of the differences between the automatic and the manual annotations were computed. Using QT-database which contains recordings of annotated ECG with a sampling rate of 250Hz, we obtain the average of the differences not exceeding two sampling intervals, while the standard deviations were within acceptable range of values. (c) 2006 IPEM. Published by Elsevier Ltd. All rights reserved.

引用

页码：26 / 37

页数：12

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