Title :
ECG denoising using extended Kalman filter
Author :
Ouali, M.A. ; Chafaa, K. ; Ghanai, M. ; Lorente, L.M. ; Rojas, D.B.
Author_Institution :
Electron. Dept., Univ. Hadj Lakhdar, Batna, Algeria
Abstract :
In this paper a combination of Extended Kalman Filter (EKF) and a dynamic model of a synthetic electrocardiogram (ECG) for ECG denoising is proposed. Experimental results show that the proposed algorithm is very efficient for the extraction of the ECG signals from noisy data measurements.
Keywords :
Kalman filters; electrocardiography; feature extraction; medical signal processing; nonlinear filters; signal denoising; ECG denoising; ECG signal extraction; EKF; extended Kalman filter; noisy data measurements; synthetic electrocardiogram dynamic model; Electrocardiography; Kalman filters; Mathematical model; Noise measurement; Noise reduction; Signal to noise ratio; Electrocardiogram; Extended; Kalman Filtre; Nonlinear dynamic model;
Conference_Titel :
Computer Applications Technology (ICCAT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-5284-0
DOI :
10.1109/ICCAT.2013.6521994
