ECG Denoising Using the Extended Kalman Filtre EKF Based on a Dynamic ECG Model

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DC Field	Value	Language
dc.contributor.author	Mohammed Assam Ouali, Kheireddine Chafaa,Moufdi Hadjab	-
dc.date.accessioned	2013-12-22T09:45:29Z	-
dc.date.available	2013-12-22T09:45:29Z	-
dc.date.issued	2013-12-22	-
dc.identifier.issn	waf	-
dc.identifier.uri	http://hdl.handle.net/123456789/3327	-
dc.description	The INTERNATIONAL CONFERENCE ON ELECTRONICS & OIL: FROM THEORY TO APPLICATIONS March 05-06, 2013, Ouargla, Algeria	en_US
dc.description.abstract	In this paper an Extended Kalman Filter (EKF) has been proposed for the filtering of ECG Signals. The method is based on a nonlinear dynamic model, previously introduced for the generation of synthetic ECG signal. The results show that the EKF may be used as a powerful tool for ECG signal denoising; our study was performed on artificial and real ECG signals.	en_US
dc.language.iso	en	en_US
dc.subject	Extended	en_US
dc.subject	Kalman Filtre	en_US
dc.subject	Nonlinear dynamic model	en_US
dc.subject	Electrocardiogram.	en_US
dc.title	ECG Denoising Using the Extended Kalman Filtre EKF Based on a Dynamic ECG Model	en_US
dc.type	Article	en_US
Appears in Collections:	3. Faculté des sciences appliquées

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