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QRS Detection Using an Efficient Algorithm Based on Wavelet Coefficients

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This paper proposes an efficient method of QRS extraction from the ECG signal using wavelet coefficients. This method is composed of three parts. The extraction of QRS regions from details decompositions using an enhanced algorithm, the QRS detection by the elimination of falsely detected peaks and the extraction of higher peaks from the QRS complex. The proposed method has been tested on the 48 records of the MIT-BIH Arrhythmia database signals. The results obtained from this method are promising, compared to recently published techniques where the positive predictivity (Pp) is 99.91 %, and sensitivity (Se) is 99.77 %.
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ECG Signal; QRS Complex; Wavelet Coefficients; QRS Detection

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M. Fischbach, Guide pratique du cardiaque, (2002) Elsevier Masson.

D. Venes, Taber's cyclopedic medical dictionary, (2013) FA Davis, pp. 1086-87.

J. G. Betts, et al., Anatomy and Physiology, (2013) OpenStax College.

J. J. Monsuez, Les prcurseurs de l'ECG, (2013) Archives des Maladies du Coeur et des Vaisseaux-Pratique, 2013 (220), pp. 44-46.

Ghariani, N., Chaoui, M., Lahiani, M., Ghariani, H., Design of ECG Transmitter for Wireless Biomedical Systems, (2015) International Review on Modelling and Simulations (IREMOS), 8 (3), pp. 301-306.

Jenkal, W., Latif, R., Toumanari, A., Dliou, A., El B'charri, O., An Efficient Method of ECG Signals Denoising Based on an Adaptive Algorithm Using Mean Filter and an Adaptive Dual Threshold Filter, (2015) International Review on Computers and Software (IRECOS), 10 (11), pp. 1089-1095.

X. Liu, Y. Zheng, M. W. Phyu, B. Zhao, M. Je, X. Yuan, Multiple functional ECG signal is processing for wearable applications of longterm cardiac monitoring. (2011) IEEE Trans. Biomed. Eng., 58 (2), pp. 380-89.

A. I. Hernandez, J. Dumont, M. Altuve, A. Beuchee, G. Carrault, Evolutionary Optimization of ECG Feature Extraction Methods: Applications to the Monitoring of Adult Myocardial Ischemia and Neonatal Apnea Bradycardia Events, (2012) A Comprehensive Framework of Computational Intelligence, Springer, pp. 237-73.

U. Maji, M. Mitra, S. Pal, Automatic Detection of Atrial Fibrillation Using Empirical Mode Decomposition and Statistical Approach, (2013) Procedia Technology, 10, pp. 45-52.

R. J. Martis, U. R. Acharya, K. M. Mandana, A. K. Ray, C. Chakraborty, Application of principal component analysis to ECG signals for automated diagnosis of cardiac health, (2012) Expert Systems with Applications, 39 (14), pp. 11792-800.

W. Zareba, H. Klein, et al., Effectiveness of cardiac resynchronization therapy by QRS morphology in the Multicenter Automatic Defibrillator Implantation Trial-Cardiac Resynchronization Therapy (MADIT-CRT), (2011) Circulation, 123 (10), pp.1061-72.

S. Pal, M. Mitra, Empirical mode decomposition based ECG enhancement and QRS detection, (2012) Computers in Biology and Medicine, 42 (1), pp. 83-92.

Z. Zidelmal, A. Amirou, M. Adnane, A. Belouchrani, QRS detection based on wavelet coefficients, (2012) Computer Methods and Programs in Biomedicine, 107 (3), pp. 490-96.

B. U. Kohler, C. Hennig, R. Orglmeister, The principles of software QRS detection. (2002) IEEE Eng. Med. Biol., 1, pp. 42-57.

J. Pan, W. J. Tompkins, A real-time QRS detection algorithm, (1985) IEEE Trans. Biomed. Eng., 32 (3), pp. 230-236.

M. Adnane, Z. W. Jiang, S. Choi, Development of QRS detection algorithm designed for wearable cardiorespiratory system, (2009) Computer Methods and Programs in Biomedicine, 3 (93), pp. 20-31.

M. Paoletti, C. Marchesi, Discovering dangerous patterns in long-term ambulatory ECG recordings using a fast QRS detection algorithm and explorative data analysis, (2006) Computer Methods and Programs in Biomedicine, 82, pp. 20-30.

Y. C. Yeha, W. J. Wanga, QRS complexes detection for ECG signal: the Difference Operation Method, (2008) Computer Methods and Programs in Biomedicine, 91, pp. 245-54.

J. P. V. Madeiro, P. Cortez, F. Oliveira, et al., A new approach to QRS segmentation based on wavelet bases and adaptive threshold technique, (2007) Med. Eng. Phys., 29, pp. 26-37.

S. W. Chen, H. C. Chen, H. L Chan, A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising, (2006) Computer Methods and Programs in Biomedicine, 82, pp. 187-95.

W. Jenkal, R. Latif, A. Toumanari, A. Dliou, O. El B'charri, Enhanced algorithm for QRS detection using discrete wavelet transform (DWT), (2015) 27th International Conference on Microelectronics (ICM), pp. 39-42.

S. Banerjee, R. Gupta, M. Mitra, Delineation of ECG characteristic features using multiresolution wavelet analysis method, (2012) Measurement, 45 (3), pp. 474-87.

G. B. Moody, R. G. Mark, The impact of the MIT-BIH Arrhythmia Database, (2001) Engineering in Medicine and Biology Magazine, 20 (3), pp. 45-50.

W. Jenkal, R. Latif, A. Toumanari, A. Dliou, O. El B'charri, F. M. R. Maoulainine, QRS Detection Based on an Advanced Multilevel Algorithm, (2016) International Journal of Advanced Computer Science and Applications, 7 (1), pp. 253-60.

S. Choi, M. Adnane, G. J. Lee, H. Jang, Z. Jiang, H. K. Park, Development of ECG beat segmentation method by combining lowpass filter and irregular R-R interval checkup strategy, (2010) EXPERT Syst. Appl,. 37 (7), pp. 5208-18.

N. M. Arzeno, Z. D. Deng, C. S. Poon, Analysis of first derivative based QRS detection algorithm, (2008) IEEE Trans. Biomed. Eng., 55 (2), pp. 478-84.

S. W. Chen, C. H. Chen, H. L. Chan, A real-time QRS method based on moving-averaging incorporating with wavelet denoising, (2006) Comput. Method. Program. Biomed., 82 (3), pp. 187-95.

R. Rodriguez, A. Mexicano, R. Ponce-Medellin, J. Bila, S. Cervantes, Adaptive Threshold and Principal Component Analysis for Features Extraction of Electrocardiogram Signals, (2014) International Symposium on In Computer Consumer and Control (IS3C), IEEE, pp. 1253-58.


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