ECG denoising using extended Kalman filter

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.

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Bibliographic Details
Main Authors: Ouali, M. A., Chafaa, K., Ghanai, M., Lorente, L. M., Rojas, D. B.
Format: Conference Proceeding
Language:English
Subjects:
Electrocardiogram
Electrocardiography
Extended
Kalman filters
Kalman Filtre
Mathematical model
Noise measurement
Noise reduction
Nonlinear dynamic model
Signal to noise ratio
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Description
Summary: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.
DOI:10.1109/ICCAT.2013.6521994