A New QRS Detection Method Using Wavelets and Artificial Neural Networks

被引:50
作者
Abibullaev, Berdakh [1 ]
Seo, Hee Don [1 ]
机构
[1] Yeungnam Univ, Dept Elect Engn, Gyongsan 712749, Gyeongbuk, South Korea
关键词
ECG; Arrhythmia detection; QRS complex; Wavelet transforms; Artificial neural networks; TRANSFORMS;
D O I
10.1007/s10916-009-9405-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
We present a new method for detection and classification of QRS complexes in ECG signals using continuous wavelets and neural networks. Our wavelet method consists of four wavelet basis functions that are suitable in detection of QRS complexes within different QRS morphologies in the signal and thresholding technique for denoising and feature extraction. The results demonstrate that the proposed method is not only efficient for normal ECG signal analysis but also for various types of arrhythmic cardiac signals embedded in noise. For the classification stage, a feedforward neural network was trained with standard backpropagation algorithm. The classifier input features consisted of compact wavelet coefficients of QRS complexes that resulted in higher classification rates. We demonstrate the efficiency of our method with the average accuracy 97.2% in classification of normal and abnormal QRS complexes.
引用
收藏
页码:683 / 691
页数:9
相关论文
共 21 条
[1]  
ABIBULLAEV B, 2008, J BIOMED ENG RES, V29, P278
[2]  
*AM NAT STAND, 1999, AMB EL
[3]  
[Anonymous], [AHA]
[4]  
[Anonymous], MIT BIH
[5]  
[Anonymous], 2005, NEURAL NETWORKS PATT
[6]   ECG feature extraction using optimal mother wavelet [J].
Castro, B ;
Kogan, D ;
Geva, AB .
21ST IEEE CONVENTION OF THE ELECTRICAL AND ELECTRONIC ENGINEERS IN ISRAEL - IEEE PROCEEDINGS, 2000, :346-350
[7]   ECG beat classification by a novel hybrid neural network [J].
Dokur, Z ;
Ölmez, T .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2001, 66 (2-3) :167-181
[8]   DE-NOISING BY SOFT-THRESHOLDING [J].
DONOHO, DL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (03) :613-627
[9]   QUANTITATIVE INVESTIGATION OF QRS DETECTION RULES USING THE MIT/BIH ARRHYTHMIA DATABASE [J].
HAMILTON, PS ;
TOMPKINS, WJ .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1986, 33 (12) :1157-1165
[10]   Wavelet transform-based QRS complex detector [J].
Kadambe, S ;
Murray, R ;
Boudreaux-Bartels, GF .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1999, 46 (07) :838-848