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Analysis of the ECG signal using SVD-based parametric modelling technique

Baali, Hamza and Salami, Momoh Jimoh Emiyoka and Akmeliawati, Rini and Aibinu, Abiodun Musa (2011) Analysis of the ECG signal using SVD-based parametric modelling technique. In: Sixth IEEE International Symposium on Electronic Design, Test and Application, 17-19 January 2011, Queenstown.

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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 MITBIH 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.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 2470/1782 (ISBN : 9780769543062)
Uncontrolled Keywords: Exponentially Damped Sinusoids, ECG, Nonlinear Fitting, Linear Prediction, Parametric Modeling, Prony Method
Subjects: T Technology > T Technology (General) > T173.2 Technological change
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 07 Sep 2011 15:03
Last Modified: 25 Jan 2012 08:10
URI: http://irep.iium.edu.my/id/eprint/1782

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