Belkadi, Mohamed AmineDaamouche, Abdelhamid2021-03-182021-03-182017978-1-5386-0686-5DOI: 10.1109/ICEE-B.2017.8192011https://ieeexplore.ieee.org/document/8192011https://dspace.univ-boumerdes.dz/handle/123456789/6632It is well-known that the wavelet transform is a very useful mathematical tool for scale analysis, with very accurate frequency components estimation for the input signal. In this paper, we propose a new efficient method for QRS detection by employing the Stationary Wavelet Transform (SWT) also known as short wavelet transform. Our approach has been tested over MIT/BIH benchmark database. The obtained results are in a good agreement with the published works. Globally, we achieved a sensitivity of 99.733%, specificity of 99.922% and an error rate of 0.345% using Lead I ECGenQRS detectionwavelet transformArticle