A new method for accurate QRS detection using stationary wavelet transform

dc.contributor.author	Belkadi, Mohamed Amine
dc.contributor.author	Daamouche, Abdelhamid
dc.date.accessioned	2021-03-18T08:58:51Z
dc.date.available	2021-03-18T08:58:51Z
dc.date.issued	2017
dc.description.abstract	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	en_US
dc.identifier.isbn	978-1-5386-0686-5
dc.identifier.other	DOI: 10.1109/ICEE-B.2017.8192011
dc.identifier.uri	https://ieeexplore.ieee.org/document/8192011
dc.identifier.uri	https://dspace.univ-boumerdes.dz/handle/123456789/6632
dc.language.iso	en	en_US
dc.publisher	Mohamed Amine Belkadi;	en_US
dc.relation.ispartofseries	2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B);
dc.subject	QRS detection	en_US
dc.subject	wavelet transform	en_US
dc.title	A new method for accurate QRS detection using stationary wavelet transform	en_US
dc.type	Article	en_US

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