@article{(Open Science Index):https://publications.waset.org/pdf/8000,
	  title     = {Comparative Study of QRS Complex Detection in ECG},
	  author    = {Ibtihel Nouira and  Asma Ben Abdallah and  Ibtissem Kouaja and  Mohamed H├Ędi Bedoui},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {6},
	  number    = {11},
	  year      = {2012},
	  pages     = {593 - 597},
	  ee        = {https://publications.waset.org/pdf/8000},
	  url   	= {https://publications.waset.org/vol/71},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 71, 2012},