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| Titre: | A new method for accurate QRS detection using stationary wavelet transform |
| Auteur(s): | Belkadi, Mohamed Amine
Daamouche, Abdelhamid |
| Mots-clés: | QRS detection
wavelet transform |
| Date de publication: | 2017 |
| Editeur: | Mohamed Amine Belkadi; |
| Collection/Numéro: | 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B); |
| Résumé: | It 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 ECG |
| URI/URL: | https://ieeexplore.ieee.org/document/8192011
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6632 |
| ISBN: | 978-1-5386-0686-5 |
| Collection(s) : | Communications Internationales
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