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Comparative Study of QRS Complex Detection in ECG
Authors: Ibtihel Nouira, Asma Ben Abdallah, Ibtissem Kouaja, Mohamed Hèdi Bedoui
Abstract:
The processing of the electrocardiogram (ECG) signal consists essentially in the detection of the characteristic points of signal which are an important tool in the diagnosis of heart diseases. The most suitable are the detection of R waves. In this paper, we present various mathematical tools used for filtering ECG using digital filtering and Discreet Wavelet Transform (DWT) filtering. In addition, this paper will include two main R peak detection methods by applying a windowing process: The first method is based on calculations derived, the second is a time-frequency method based on Dyadic Wavelet Transform DyWT.Keywords: Derived calculation methods, Electrocardiogram, R peaks, Wavelet Transform.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070063
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[1] A. Menrad. "Dual microprocessor system for cardiovasculardata acquisition, processing and recording," in Proc. 1981IEEE Inr.Con5Industrial Elect. Contr. Instrument., 1981, pp. 64-69.
[2] P. Holsinger, K.M. Kempner and M.H. Miller, "A QRS preprocessor based on digital differentiation," IEEE Trans. Biomed. Eng., vol. 18, pp. 121-217, May 1971.
[3] J. Fraden and M. R. Neuman. "QRS wave detection". Med. & Biol. Eng. & Comp. vol. 18, pp. 125-132, Mar. 1980.
[4] M.L. Ahlstrom and W.J. Tompkins. "Automated high-speed analysis of holter tapes with microcomputers," IEEE Trans. Biomed. Eng., vol. 30, pp. 651-657, Oct. 1983.
[5] Q. Xue, Y.H. Hu and W.J. Tompkins. "Neural-Network-based Adaptive Matched Filtering for QRS detection,-- IEEE Trans. Biomed. Eng., vol. 39,pp. pp. 317-329, 1992.
[6] S. Sumathi and Dr.M.Y. Sanavullah. "Comparative Study of QRS Complex Detection in ECG Based on Discrete Wavelet". International Journal of Recent Trends in Engineering, Vol 2, No. 5, pp. 273-277, 2009.
[7] C. Li and C. Zheng. "QRS Detection by Wavelet Transform," in Proc. 15th Ann. Int. Conf. IEEE Eng. Med. Biol. Soc. , 1993, pp. 330-331.
[8] R. Gautam and A. Sharmar. "Detection of QRS complexes of ECG recording based on Wavelet Transform using MATLAB". International Journal of Engineering Science and Technology, vol. 2(7), pp. 3038-3044, 2010.
[9] A.R. Al Qawasmi and K. Daqrouq. "ECG Signal Enhancement Using Wavelet Transform," WSEAS Trans on Biology and Biomedecine, vol. 7, Issue 2, pp. 62-72, Apr. 2010.
[10] G.M. Friesen, T.C. Jannett, M.A. Jadallah, S.L. Yates and H.t. Nagle. "A Comparison of the Noise Sensitivity of Nine QRS Detection Algorithms," IEEE Trans. Biomed. Eng., vol. 37, No. 1, pp. 85-98, 1990.
[11] T.Y.Lo and P.C.Tang, "A fast bandpass filter for ECG processing", Proc. IEEE Eng. Med. Biol. Soc. 4 th Annu. Int. Conf, 1982.
[12] M. Kania, M. Fereniec and R. Maniewski. "Wavelet Denoising for Multi-lead High Resolution ECG Signals". Measurement science review, vol. 7, Section 2, No. 4, pp. 30-33, 2007.
[13] P. S Gokhale. "ECG Signal De-noising using Discrete Wavelet Transform for removal of 50Hz PLI noise". International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue 5, pp. 81-85, May 2012.
[14] Z. Germán-Salló, "Wavelet Transform Based ECG Signal Denoising--, presented at the Scientific International Conference Interdisciplinarity in Engineering, Mures, Romania, 2007.