Implementation of Derivative Based QRS Complex Detection Methods

被引：5

作者：

Kher, Rahul ^{[1
]}

Vala, Dipak ^{[2
]}

Pawar, Tanmay ^{[2
]}

Thakar, V. K. ^{[3
]}

机构：

[1] GH Patel Coll Engg & Tech, Elect & Comm Engg Dept, Vallabh Vidyanagar, Gujarat, India

[2] BVM Engn Coll, Dept Elect Engn, Vallabh Vidyanagar, Gujarat, India

[3] AD Patel Inst Tech, Elect & Commun Engn Dept, Vallabh Vidyanagar, Gujarat, India

来源：

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

关键词：

ECG; QRS complex; Derivative-based algorithms; Detection rate; Wavelets; Morphology; PCA; ANN; SVM; ST-SEGMENT EPISODES; ECG ANALYSIS;

D O I：

10.1109/BMEI.2010.5640033

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper QRS complex detection algorithms based on the first and second derivatives have been studied and implemented. The threshold values for detecting R-peak candidate points mentioned in previous work have been modified for accuracy point of view. The derivative based QRS detection algorithms have been found not only computationally simple but exceptionally effective also on variety of ECG database that includes highly noisy and arrhythmic ECG signals. This is indicated by an average detection rate of over 98% obtained through the modified threshold values even for the challenging ECG test sets.

引用

页码：927 / 931

页数：5

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