Analysis of the ECG signal using SVD-based parametric modelling technique
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Date
2011-01-17
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
A new parametric modeling technique for the analysis of the ECG signal is presented in
this paper. This approach involves the projection of the excitation signal on the right
eigenvectors of the impulse response matrix of the LPC filter. Each projected value is
then weighted by the corresponding singular value, leading to an approximated sum of
exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate
the EDS model parameters. Prony's algorithm is first used to obtain initial estimates of
the model, while the Gauss-Newton method is applied to solve the non-linear least-square
optimisation problem. The performance of the proposed model is evaluated on abnormal
clinical ECG data selected from the MIT-BIH database using objective measures of
distortion. A good compression ratio per beat has been obtained using the proposed
algorithm which is quite satisfactory when compared to other techniques.
Description
Keywords
Exponentially damped sinusoids, ECG, Linear Prediction, Nonlinear fitting, Parametric modeling, Prony method
Citation
Baali, H., Salami, M. J. E., Akmeliawati, R., & Aibinu, A. M. (2011, January). Analysis of the ECG signal using SVD-based parametric modelling technique. In 2011 Sixth IEEE International Symposium on Electronic Design, Test and Application (pp. 180-184). IEEE.