Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/115770
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Type: Journal article
Title: ECG parametric modeling based on signal dependent orthogonal transform
Author: Baali, H.
Akmeliawati, R.
Salami, M.
Khorshidtalab, A.
Lim, E.
Citation: IEEE Signal Processing Letters, 2014; 21(10):1293-1297
Publisher: IEEE
Issue Date: 2014
ISSN: 1070-9908
1558-2361
Statement of
Responsibility: 
H. Baali, R. Akmeliawati, M.J.E. Salami, A. Khorshidtalab and E. Lim
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.
Keywords: ECG parametric modelling; linear prediction coefficient; orthogonal transform; Prony’s method; singular value decomposition
Rights: © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
RMID: 0030085470
DOI: 10.1109/LSP.2014.2332425
Appears in Collections:Mechanical Engineering publications

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