An efficient instantaneous ecg delineation algorithm
An efficient electrocardiogram (ECG) delineation algorithm is proposed to instantaneously delineate the ECG characteristic points, such as peak, onset and offset points of QRS, P and T waves. It is essential to delineate the ECG characteristic waves accurately and precisely as it ensure the performa...
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Online Access: | http://eprints.utm.my/id/eprint/89509/1/YuanWenHau2019_AnEfficientInstantaneousEcgDelineation.pdf http://eprints.utm.my/id/eprint/89509/ http://www.dx.doi.org/10.23919/CinC49843.2019.9005708 |
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my.utm.895092021-02-09T04:26:18Z http://eprints.utm.my/id/eprint/89509/ An efficient instantaneous ecg delineation algorithm Thion, M. C. Yuan, W. H. Omar, Z. Chiao, W. L. TK Electrical engineering. Electronics Nuclear engineering An efficient electrocardiogram (ECG) delineation algorithm is proposed to instantaneously delineate the ECG characteristic points, such as peak, onset and offset points of QRS, P and T waves. It is essential to delineate the ECG characteristic waves accurately and precisely as it ensure the performance of ECG analysis and diagnosis. The proposed delineation algorithm is based on discrete wavelet transform (DWT) and moving window average (MWA) techniques. The proposed delineation algorithm is evaluated and assessed with the annotation data of QT database in term of accuracy, sensitivity and positive predictive value. With the only available 13 sets QT database records with modified Lead II data, the proposed algorithm achieved significant P peak, R peak, T peak and T offset delineation performance with the accuracy of 95.34%, 99.80%, 90.82% and 86.33% respectively when evaluated with q1c annotation file. The mean difference between detected and annotated T offset based on q1c and q2c is 13 ms and 3.6 ms respectively. The delineation of 15 minute-long ECG record only required 74.702 second. As conclusion, the proposed ECG delineation algorithm based on DWT and MWA techniques have been proven simple, efficient and accurate in delineating the significant ECG characteristic points. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89509/1/YuanWenHau2019_AnEfficientInstantaneousEcgDelineation.pdf Thion, M. C. and Yuan, W. H. and Omar, Z. and Chiao, W. L. (2019) An efficient instantaneous ecg delineation algorithm. In: Computing in Cardiology (CinC), 2019, 8-11 Sep 2019, Singapore. http://www.dx.doi.org/10.23919/CinC49843.2019.9005708 |
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TK Electrical engineering. Electronics Nuclear engineering Thion, M. C. Yuan, W. H. Omar, Z. Chiao, W. L. An efficient instantaneous ecg delineation algorithm |
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An efficient electrocardiogram (ECG) delineation algorithm is proposed to instantaneously delineate the ECG characteristic points, such as peak, onset and offset points of QRS, P and T waves. It is essential to delineate the ECG characteristic waves accurately and precisely as it ensure the performance of ECG analysis and diagnosis. The proposed delineation algorithm is based on discrete wavelet transform (DWT) and moving window average (MWA) techniques. The proposed delineation algorithm is evaluated and assessed with the annotation data of QT database in term of accuracy, sensitivity and positive predictive value. With the only available 13 sets QT database records with modified Lead II data, the proposed algorithm achieved significant P peak, R peak, T peak and T offset delineation performance with the accuracy of 95.34%, 99.80%, 90.82% and 86.33% respectively when evaluated with q1c annotation file. The mean difference between detected and annotated T offset based on q1c and q2c is 13 ms and 3.6 ms respectively. The delineation of 15 minute-long ECG record only required 74.702 second. As conclusion, the proposed ECG delineation algorithm based on DWT and MWA techniques have been proven simple, efficient and accurate in delineating the significant ECG characteristic points. |
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Conference or Workshop Item |
author |
Thion, M. C. Yuan, W. H. Omar, Z. Chiao, W. L. |
author_facet |
Thion, M. C. Yuan, W. H. Omar, Z. Chiao, W. L. |
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Thion, M. C. |
title |
An efficient instantaneous ecg delineation algorithm |
title_short |
An efficient instantaneous ecg delineation algorithm |
title_full |
An efficient instantaneous ecg delineation algorithm |
title_fullStr |
An efficient instantaneous ecg delineation algorithm |
title_full_unstemmed |
An efficient instantaneous ecg delineation algorithm |
title_sort |
efficient instantaneous ecg delineation algorithm |
publishDate |
2019 |
url |
http://eprints.utm.my/id/eprint/89509/1/YuanWenHau2019_AnEfficientInstantaneousEcgDelineation.pdf http://eprints.utm.my/id/eprint/89509/ http://www.dx.doi.org/10.23919/CinC49843.2019.9005708 |
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13.160551 |