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ECG parametric modeling based on signal dependent orthogonal transform

Baali, Hamza and Akmeliawati, Rini and Salami, Momoh Jimoh Eyiomika and Khorshidtalab, Aida and E., Lim (2014) ECG parametric modeling based on signal dependent orthogonal transform. IEEE Signal Processing Letters, 21 (10). pp. 1293-1297. ISSN 1070-9908

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Abstract

In this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform. The technique involves the mapping of the ECG heartbeats into the singular values (SV) domain using the left singular vectors matrix of the impulse response matrix of the LPC filter. The resulting spectral coefficients vector would be concentrated, leading to an approximation to a sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the model parameters. The Prony’s method is first employed to obtain initial estimates of the model, while the Levenberg–Marquardt (LM) method is then applied to solve the non-linear least-square optimization problem. The ECG signal is reconstructed using the EDS parameters and the linear prediction coefficients via the inverse transform. The merit of the proposed modeling technique is illustrated on the clinical data collected from the MIT-BIH database including all the arrhythmias classes that are recommended by the Association for the Advancement of Medical Instrumentation (AAMI). For all the tested ECG heartbeats, the average values of the percent root mean square difference (PRDs) between the actual and the reconstructed signals were relatively low, varying between a minimum of 3.1545% for Premature Ventricular Contractions (PVC) class and a maximum of 10.8152% for Nodal Escape (NE) class.

Item Type: Article (Journal)
Additional Information: 5806/37155
Uncontrolled Keywords: ECG parametric modeling, linear prediction coefficient, orthogonal transform, Prony’smethod, singular value decomposition.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 04 Jul 2014 10:58
Last Modified: 24 May 2018 15:55
URI: http://irep.iium.edu.my/id/eprint/37155

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