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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1782/1/Analysis_of_the_ECG_Signal_using_SVD-Based.pdf |
| _version_ | 1796874825191391232 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T22:29:59Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:1782 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:29:59Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Analysis of the ECG signal using SVD-based parametric modelling technique |
| title_sort | analysis of the ecg signal using svd based parametric modelling technique |
| topic | T173.2 Technological change |
| url | http://irep.iium.edu.my/1782/1/Analysis_of_the_ECG_Signal_using_SVD-Based.pdf |
| work_keys_str_mv | AT baalihamza analysisoftheecgsignalusingsvdbasedparametricmodellingtechnique AT salamimomohjimohemiyoka analysisoftheecgsignalusingsvdbasedparametricmodellingtechnique AT akmeliawatirini analysisoftheecgsignalusingsvdbasedparametricmodellingtechnique AT aibinuabiodunmusa analysisoftheecgsignalusingsvdbasedparametricmodellingtechnique |