A model-based Bayesian framework for ECG beat segmentation

Physiological Measurement

Volumn 30, Issue 3, 2009, Pages 335-352

  Sayadi, O ^a   Shamsollahi, M B ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Correction algorithm; ECG dynamical model; Extended KalmanFilter; Fiducial points extraction; Fluctuating estimates; Segmentation

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; EXTRACTION;

CORRECTION ALGORITHMS; DYNAMICAL MODELING; ELECTROCARDIOGRAM DYNAMICAL MODEL; ELECTROCARDIOGRAM SIGNAL; EXTENDED KALMANFILTER; FIDUCIAL POINT EXTRACTION; FIDUCIAL POINTS; FLUCTUATING ESTIMATE; POINT EXTRACTION; SEGMENTATION;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; BAYES THEOREM; ELECTROCARDIOGRAM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SIMULATION;

EID: 63649093019     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/30/3/008     Document Type: Article

References (36)

1. Afonso V X, Tompkins W J, Nguyen T Q and Luo S 1999 ECG beat detection using filter banks IEEE Trans. Biomed. Eng. 46 192-202
2. Andreo R V, Dorizzi B, Cortez P C and Mota J C M 2002 Efficient ECG multilevel wavelet classification through neural network dimensionality reduction Proc. IEEE Workshop on Neural Network for Signal Processing (Martigny, Suisse) 395-404
3. Bortolan G, Degani R and Willems J L 1990 Neural networks for ECG classification Proc. Computers in Cardiology (Chicago, IL) 269-72
4. Christov I and Simova I 2007 Q-onset and T-end delineation: assessment of the performance of an automated method with the use of a reference database Physiol. Meas. 28 213-21
5. Clifford G D, Azuaje F and McSharry P E 2006 Advanced Methods and Tools for ECG Data Analysis (Boston: Artech House)
6. Clifford G D, Shoeb A, McSharry P E and Janz B A 2005 Model-based filtering, compression and classification of the ECG Int. J. Bioelectromagn. 7 158-61
7. Coast D A, Stern R M, Cano G G and Briller S A 1990 An approach to cardiac arrhythmia analysis using hidden Markov model IEEE Trans. Biomed. Eng. 37 826-36
8. Elghazzawi Z and Gehed F 1996 A knowledge-based system for arrhythmia detection Proc. Computers in Cardiology (Indianapolis, IN) 541-4
9. Gelb A 1974 Applied Optimal Estimation (Cambridge, MA: MIT Press)
10. Goldberger A L, Amaral L A N, Glass L, Hausdorff J M, Ivanov P C, Mark R G, Mietus J E, Moody G B, Peng C K and Stanley H E 2000 PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals Circulation 101 e215-20 (Circulation electronic pages http://circ.ahajournals.org/cgi/content/full/101/23/e215)
11. Gritzali F, Frangakis G and Papakonstantinou G 1989 Detection of the P and T waves in an ECG Comput. Biomed. Res. 22 83-91
12. Haykin S 2001 Kalman Filtering and Neural Networks (New York: Wiley)
13. Hu Y H, Palreddy S and Tompkins W J 1997 A patient-adaptable ECG beat classifier using a mixture of experts approach IEEE Trans. Biomed. Eng. 44 891-900
14. Kadambe S, Murray R and Boudreaux-Bartels G 1999 Wavelet transform-based QRS complex detector IEEE Trans. Biomed. Eng. 46 838-48
15. Kadish A 2001 ACC/AHA clinical competence statement on electrocardiography and ambulatory electrocardiography Circulation 104 3169-78
16. Kay S M 1981 Efficient generation of colored noise Proc. IEEE 69 480-1
17. Krimi S, Ouni K and Ellouze N 2006 T-wave detection based on an adjusted wavelet transform modulus maxima Int. J. Biomed. Sci. 1 128-32
18. Köhler B U, Hening C and Orglmeister R 2002 The principles of software QRS detection IEEE Eng. Med. Biol. Mag. 21 42-57
19. Kors J A and Van Bemmel J H 1990 Classification methods for computerized interpretation of the electrocardiogram Methods Inf. Med. 29 330-6
20. Laguna P, Jané R and Caminal P 1994 Automatic detection of wave boundaries in multilead ECG signals. Validation with the CSE database Comput. Biomed. Res. 27 45-60
21. Lee R G, Cho I C, Lai C C, Liu M H and Chiu M J 2005 A novel QRS detection algorithm applied to the analysis for heart rate variability of patients with sleep apnea J. Biomed. Eng. Appl. Basis Commun. 17 258-62
22. Li C, Zheng C and Tai C 1995 Detection of ECG characteristic points using wavelet transforms IEEE Trans. Biomed. Eng. 42 21-8
23. Mahmoodabadi S Z, Ahmadian A and Abolhasani M D 2005 ECG feature extraction using Daubechies wavelets Proc. IASTED (Benidorm, Spain) 343-8
24. McSharry P E, Clifford G D, Tarassenko L and Smith L A 2003 A dynamic model for generating synthetic electrocardiogram signals IEEE Trans. Biomed. Eng. 50 289-94
25. Meyer C, Gavela J F and Harris M 2006 Combining algorithms in automatic detection of QRS complexes in ECG signals IEEE Trans. Inf. Tech. Biomed. 10 468-75
26. MIT-BIH Normal Sinus Rhythm Database 1991 (http://www.physionet.org/ physiobank/database/nsrdb/)
27. Portet F 2008 P wave detector with PP rhythm tracking: evaluation in different arrhythmia contexts Physiol. Meas. 29 141-55
28. Sameni R, Shamsollahi M B and Jutten C 2008 Model-based Bayesian filtering of cardiac contaminants from biomedical recordings Physiol. Meas. 29 595-613
29. Sameni R, Shamsollahi M B, Jutten C and Clifford G D 2007 A nonlinear Bayesian filtering framework for ECG denoising IEEE Trans. Biomed. Eng. 54 2172-85
30. Sayadi O, Sameni R and Shamsollahi M B 2007 ECG denoising using parameters of ECG dynamical model as the states of an extended Kalman filter Proc. EMBC '07 (Lyon, France) pp 2548-51
31. Sayadi O and Shamsollahi M B 2008a ECG denoising and compression using a modified extended Kalman filter structure IEEE Trans. Biomed. Eng. 55 2240-8
32. Sayadi O and Shamsollahi M B 2008b Model-based ECG fiducial points extraction using a modified extended Kalman filter structure Invited paper ISABEL '08 (Aalborg, Denmark) pp 1-5
33. Sayadi O and Shamsollahi M B 2008c Model-based fiducial points extraction for baseline wandered electrocardiograms IEEE Trans. Biomed. Eng. 55 347-51
34. Simon D 2006 Optimal State Estimation (New York: Wiley)
35. Skordalakis E 1986 Syntactic ECG processing: a review Pattern Recog. 19 305-13
36. Vullings H J L M, Verhaegen M H G and Verbruggen H B 1998 Automated ECG segmentation with dynamic time warping Proc. EMBC '98 (Hong Kong) pp 163-6