An approach to detect QRS complex using backpropagation neural network
Backpropagation Neural Network is used to learn the characteristics of R peak to detect QRS complex. This allows R peak to be differentiated from large peaked T and P waves with higher accuracy and minimizes the problem associated with the noises in the ECG signal includes power line interference, m...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/36663/ http://irep.iium.edu.my/36663/1/c-9_523-116.pdf |
| _version_ | 1848781268891729920 |
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| author | Reaz, Mamun Bin Ibne Ibrahimy, Muhammad Ibn Ab Rahim, Rosminazuin |
| author_facet | Reaz, Mamun Bin Ibne Ibrahimy, Muhammad Ibn Ab Rahim, Rosminazuin |
| author_sort | Reaz, Mamun Bin Ibne |
| building | IIUM Repository |
| collection | Online Access |
| description | Backpropagation Neural Network is used to learn the characteristics of R peak to detect QRS complex. This allows R peak to be differentiated from large peaked T and P waves with higher accuracy and minimizes the problem associated with the noises in the ECG signal includes power line interference, motion artifacts, baseline drift, ECG amplitude modulation and other composite noises. The features that trains the network includes amplitude, differentiation value, duration exceed threshold, RR interval and crossing-zero. The performance was tested and resulting in accuracy to detect the correct positive peak was 91.16%. |
| first_indexed | 2025-11-14T15:46:52Z |
| format | Proceeding Paper |
| id | iium-36663 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:46:52Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-366632014-05-21T08:20:38Z http://irep.iium.edu.my/36663/ An approach to detect QRS complex using backpropagation neural network Reaz, Mamun Bin Ibne Ibrahimy, Muhammad Ibn Ab Rahim, Rosminazuin T Technology (General) Backpropagation Neural Network is used to learn the characteristics of R peak to detect QRS complex. This allows R peak to be differentiated from large peaked T and P waves with higher accuracy and minimizes the problem associated with the noises in the ECG signal includes power line interference, motion artifacts, baseline drift, ECG amplitude modulation and other composite noises. The features that trains the network includes amplitude, differentiation value, duration exceed threshold, RR interval and crossing-zero. The performance was tested and resulting in accuracy to detect the correct positive peak was 91.16%. 2006 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/36663/1/c-9_523-116.pdf Reaz, Mamun Bin Ibne and Ibrahimy, Muhammad Ibn and Ab Rahim, Rosminazuin (2006) An approach to detect QRS complex using backpropagation neural network. In: 7th WSEAS International Conference on Neural Networks, 12-14 June, 2006, Cavtat, Croatia. http://www.wseas.us/e-library/conferences/2006cavtat/nn/index.htm |
| spellingShingle | T Technology (General) Reaz, Mamun Bin Ibne Ibrahimy, Muhammad Ibn Ab Rahim, Rosminazuin An approach to detect QRS complex using backpropagation neural network |
| title | An approach to detect QRS complex using backpropagation neural network |
| title_full | An approach to detect QRS complex using backpropagation neural network |
| title_fullStr | An approach to detect QRS complex using backpropagation neural network |
| title_full_unstemmed | An approach to detect QRS complex using backpropagation neural network |
| title_short | An approach to detect QRS complex using backpropagation neural network |
| title_sort | approach to detect qrs complex using backpropagation neural network |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/36663/ http://irep.iium.edu.my/36663/ http://irep.iium.edu.my/36663/1/c-9_523-116.pdf |