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

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 sin...

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Main Authors: Baali, Hamza, Salami, Momoh Jimoh Emiyoka, Akmeliawati, Rini, Aibinu, Abiodun Musa
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/1782/
http://irep.iium.edu.my/1782/
http://irep.iium.edu.my/1782/1/Analysis_of_the_ECG_Signal_using_SVD-Based.pdf
id iium-1782
recordtype eprints
spelling iium-17822012-01-25T00:10:29Z http://irep.iium.edu.my/1782/ Analysis of the ECG signal using SVD-based parametric modelling technique Baali, Hamza Salami, Momoh Jimoh Emiyoka Akmeliawati, Rini Aibinu, Abiodun Musa T173.2 Technological change 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. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1782/1/Analysis_of_the_ECG_Signal_using_SVD-Based.pdf 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. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5729563
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T173.2 Technological change
spellingShingle T173.2 Technological change
Baali, Hamza
Salami, Momoh Jimoh Emiyoka
Akmeliawati, Rini
Aibinu, Abiodun Musa
Analysis of the ECG signal using SVD-based parametric modelling technique
description 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.
format Conference or Workshop Item
author Baali, Hamza
Salami, Momoh Jimoh Emiyoka
Akmeliawati, Rini
Aibinu, Abiodun Musa
author_facet Baali, Hamza
Salami, Momoh Jimoh Emiyoka
Akmeliawati, Rini
Aibinu, Abiodun Musa
author_sort Baali, Hamza
title Analysis of the ECG signal using SVD-based parametric modelling technique
title_short Analysis of the ECG signal using SVD-based parametric modelling technique
title_full Analysis of the ECG signal using SVD-based parametric modelling technique
title_fullStr Analysis of the ECG signal using SVD-based parametric modelling technique
title_full_unstemmed Analysis of the ECG signal using SVD-based parametric modelling technique
title_sort analysis of the ecg signal using svd-based parametric modelling technique
publishDate 2011
url http://irep.iium.edu.my/1782/
http://irep.iium.edu.my/1782/
http://irep.iium.edu.my/1782/1/Analysis_of_the_ECG_Signal_using_SVD-Based.pdf
first_indexed 2023-09-18T20:09:17Z
last_indexed 2023-09-18T20:09:17Z
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