Automatic classification of heartbeats using neural network classifier based on a Bayesian framework

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 4016-4019

  Karraz, G ^a   Magenes, G ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

Automatic ECG analysis; Ectopic beats; Neural networks

Indexed keywords

BAYESIAN NETWORKS; ELECTROCARDIOGRAPHY; NEURAL NETWORKS;

ATRIAL PREMATURE CONDUCTION BEAT (APC); AUTOMATIC ECG ANALYSIS; ECTOPIC BEATS; HEART BEATS;

CARDIOLOGY;

ALGORITHM; ARTICLE; AUTOMATION; BAYES THEOREM; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; HEART ARRHYTHMIA; HEART ATRIUM FIBRILLATION; HEART RATE; HEART VENTRICLE FIBRILLATION; HUMAN; NERVE CELL NETWORK; PATHOPHYSIOLOGY; PHYSIOLOGY;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; ATRIAL FIBRILLATION; AUTOMATION; BAYES THEOREM; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; NERVE NET; VENTRICULAR FIBRILLATION;

EID: 34047164585     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259356     Document Type: Conference Paper

References (12)

1. MIT-BIH Arrhythmia Database Directory (Records), Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center). Available: http://www.physionet.com.
2. European Markets for Arrhythmia Management Products, 278 Pages Report # RP-481420, February 2001.
3. F. G. Yanowitz, M.D., ECG Learning Center. University of Utah School of Medicine Medical Director, ECG Department LDS Hospital Salt Lake City, Utah.. Available http://medstat.med.utah.edu/kw/ecg/..
4. G. Clifford, Matlab software, http://www.gnu.org/
5. S.E. Dobbs, N.M. Schmitt, H.S. Ozemek "QRS detection by template matching using real-time correlation on a microcomputer" Journal of Clinical Engineering, 9: 197-212, 1984.
6. Hamilton, P.S. and Tompkins, W.J. "Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database" Trans.Biomed.Eng.BME-33:1157-65, 1986
7. C. Marchesi, M. Paoletti "Model based characterisation for long-term personal monitoring". The Internet Journal of Medical Technology. Volume 1, Number 2, 2004.
8. S. Osowski, and Tran Hoai Linh, "Fuzzy clustering neural network for classification of ECG beats", International Joint Conference on Neural Networks, (IJCNN 2000)-Volume 5, 2000.
9. D.E. RRumelhart, G. E. Hinton, R. J. Williams, Learning internal representation by error propagation. In: Rumelhart, D. E., McClelland, J. L, and the PDP research group (Eds), Parallel distributed processing, MIT press, Cambridge, MA 318-362, 1996..
10. D. Gao, Y. Kinouchi, K. Ito, X. Zhao, Neural Networks For event Extraction from Time Series: A Back Propagation Algorithm Approach. Future Generation Computer Systems (FGC), Volume 21, No 7., 1096-1105, 2005.
11. D. Gao, Y. Kinouchi, K. Ito, X. Zhao, Time Series Identifying and Modeling with Neural Networks. In: Proc. IEEE Int. Joint Conference on Neural Networks, Portland, USA.; 2454-59, 2003.
12. D. Gao, M. Madden, M. Schukat, D. Chambers, G. Lyons. "Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework", the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, December 2004.