A model-based Bayesian framework for ECG beat segmentation
The study of electrocardiogram (ECG) waveform amplitudes, timings and patterns has been the subject of intense research, for it provides a deep insight into the diagnostic features of the heart's functionality. In some recent works, a Bayesian filtering paradigm has been proposed for denoising...
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| Published in | Physiological measurement Vol. 30; no. 3; pp. 335 - 352 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
England
IOP Publishing
01.03.2009
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0967-3334 1361-6579 |
| DOI | 10.1088/0967-3334/30/3/008 |
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| Abstract | The study of electrocardiogram (ECG) waveform amplitudes, timings and patterns has been the subject of intense research, for it provides a deep insight into the diagnostic features of the heart's functionality. In some recent works, a Bayesian filtering paradigm has been proposed for denoising and compression of ECG signals. In this paper, it is shown that this framework may be effectively used for ECG beat segmentation and extraction of fiducial points. Analytic expressions for the determination of points and intervals are derived and evaluated on various real ECG signals. Simulation results show that the method can contribute to and enhance the clinical ECG beat segmentation performance. |
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| AbstractList | The study of electrocardiogram (ECG) waveform amplitudes, timings and patterns has been the subject of intense research, for it provides a deep insight into the diagnostic features of the heart's functionality. In some recent works, a Bayesian filtering paradigm has been proposed for denoising and compression of ECG signals. In this paper, it is shown that this framework may be effectively used for ECG beat segmentation and extraction of fiducial points. Analytic expressions for the determination of points and intervals are derived and evaluated on various real ECG signals. Simulation results show that the method can contribute to and enhance the clinical ECG beat segmentation performance.The study of electrocardiogram (ECG) waveform amplitudes, timings and patterns has been the subject of intense research, for it provides a deep insight into the diagnostic features of the heart's functionality. In some recent works, a Bayesian filtering paradigm has been proposed for denoising and compression of ECG signals. In this paper, it is shown that this framework may be effectively used for ECG beat segmentation and extraction of fiducial points. Analytic expressions for the determination of points and intervals are derived and evaluated on various real ECG signals. Simulation results show that the method can contribute to and enhance the clinical ECG beat segmentation performance. The study of electrocardiogram (ECG) waveform amplitudes, timings and patterns has been the subject of intense research, for it provides a deep insight into the diagnostic features of the heart's functionality. In some recent works, a Bayesian filtering paradigm has been proposed for denoising and compression of ECG signals. In this paper, it is shown that this framework may be effectively used for ECG beat segmentation and extraction of fiducial points. Analytic expressions for the determination of points and intervals are derived and evaluated on various real ECG signals. Simulation results show that the method can contribute to and enhance the clinical ECG beat segmentation performance. |
| Author | Shamsollahi, M B Sayadi, O |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19242046$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/10.362922 10.1109/10.740882 10.1002/0470045345 10.1109/10.623058 10.1109/10.771194 10.1161/01.CIR.101.23.e215 10.1016/0031-3203(86)90056-7 10.1161/circ.104.25.3169 10.1109/PROC.1981.12000 10.1055/s-0038-1634792 10.1016/0010-4809(89)90017-7 10.1109/TBME.2003.808805 10.1109/TBME.2007.899302 10.1088/0967-3334/29/5/006 10.1088/0967-3334/28/2/009 10.1109/TBME.2007.897817 10.1109/TITB.2006.875662 10.1109/51.993193 10.1088/0967-3334/29/1/010 10.1109/TBME.2008.921150 10.1002/0471221546 10.4015/S101623720500038X 10.1006/cbmr.1994.1006 10.1109/10.58593 |
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| References | Bortolan G Degani R Willems J L (3) 1990 22 24 25 29 Sayadi O Sameni R Shamsollahi M B (30) 2007 Clifford G D (5) 2006 Kors J A (19) 1990; 29 Portet F (27) 2008; 29 Elghazzawi Z Gehed F (8) 1996 Vullings H J L M Verhaegen M H G Verbruggen H B (36) 1998 MIT-BIH Normal Sinus Rhythm Database (26) 1991 31 Christov I (4) 2007; 28 11 33 12 Sameni R (28) 2008; 29 34 13 35 14 Clifford G D (6) 2005; 7 16 18 Mahmoodabadi S Z Ahmadian A Abolhasani M D (23) 2005 Kadish A (15) 2001; 104 1 Goldberger A L (10) 2000; 101 Andreão R V Dorizzi B Cortez P C Mota J C M (2) 2002 7 Gelb A (9) 1974 Krimi S (17) 2006; 1 Sayadi O Shamsollahi M B (32) 2008 20 21 |
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| Title | A model-based Bayesian framework for ECG beat segmentation |
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