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New Method of R-Wave Detection by Continuous Wavelet Transform
Talbi Mourad, Akram Aouinet, Lotfi Salhi, Cherif Adnane
Pages - 165 - 173     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 5   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
Continuous Wavelet Transform, Electrocardiogram, Hard Thresholding, R-wave Detection
In this paper we have employed a new method of R-peaks detection in electrocardiogram (ECG) signals. This method is based on the application of the discretised Continuous Wavelet Transform (CWT) used for the Bionic Wavelet Transform (BWT). The mother wavelet associated to this transform is the Morlet wavelet. For evaluating the proposed method, we have compared it to others methods that are based on Discrete Wavelet Transform (DWT). In this evaluation, the used ECG signals are taken from MIT-BIH database. The obtained results show that the proposed method outperforms some conventional techniques used in our evaluation.
CITED BY (3)  
1 Bouaziz, F., Boutana, D., & Benidir, M. (2014). Multiresolution wavelet-based QRS complex detection algorithm suited to several abnormal morphologies. IET Signal Processing, 8(7), 774-782.
2 Su, L., Sun, M., Li, C., & Peng, X. (2014). A Nonparametric Derivative-Based Method for R Wave Detection in ECG. Journal of Computer and Communications, 2(12), 26.
3 Bouaziz, F., Boutana, D., & Benidir, M. (2012, December). Automatic detection method of R-wave positions in electrocardiographic signals. In Microelectronics (ICM), 2012 24th International Conference on (pp. 1-4). IEEE.
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Mr. Talbi Mourad
Faculty of Sciences of Tunis, Tunisia - Tunisia
Mr. Akram Aouinet
- Tunisia
Mr. Lotfi Salhi
- Tunisia
Mr. Cherif Adnane
- Tunisia