Title :
SVD- based method for ECG denoising
Author :
Ouali, M.A. ; Chafaa, K.
Author_Institution :
Electron. Dept., Univ. Hadj Lakhdar, Batna, Algeria
Abstract :
In this paper an efficient filtering procedure based on the Singular Value Decomposition (SVD) has been proposed. SVD, a high resolution spectrum estimation tools, is used to decompose the ECG data matrix into orthogonal subspaces. Due to the energy-preserving orthogonal transformation in the SVD, these subspaces correspond to the signal and noise components contained in the ECG data. Projection of the data onto the desired subspace eliminates the noise and the unwanted signal components.
Keywords :
electrocardiography; filtering theory; medical signal processing; signal denoising; singular value decomposition; ECG data matrix decomposition; ECG denoising; SVD-based method; electrocardiography; energy-preserving orthogonal transformation; filtering procedure; noise component; orthogonal subspace; signal component; singular value decomposition; spectrum estimation tool; Electrocardiography; Matrix decomposition; Noise reduction; Signal to noise ratio; Singular value decomposition; Vectors; Den o ising; EeG signal; Singular value decemposition; prejection operator;
Conference_Titel :
Computer Applications Technology (ICCAT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-5284-0
DOI :
10.1109/ICCAT.2013.6522051
