Detection of supraventricular and ventricular ectopic beats using a single lead ECG

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 45-48

  De Chazal, Philip ^a  

^a WESTERN SYDNEY UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR CLASSIFIERS; PERFORMANCE ASSESSMENT; QRS DETECTION; SIMPLE ALGORITHM; T WAVES; TIME DOMAIN; VENTRICULAR ECTOPIC BEATS;

ALGORITHMS; ELECTROCARDIOGRAPHY;

CHEMICAL DETECTION;

ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; HUMAN; VENTRICULAR PREMATURE COMPLEXES;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; VENTRICULAR PREMATURE COMPLEXES;

EID: 84886535178     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6609433     Document Type: Conference Paper

References (21)

1. J.A. Kastor, Arrhythmias. 2nd Edition, London: W. B. Saunders, 1994.
2. M. Lagerholm, C. Peterson, G. Braccini, L. Edenbrandt, and L. Sornmo, "Clustering ECG complexes using Hermite functions and self-organizing maps, " IEEE Trans. Biomed. Eng., vol. 47, no. 7, pp. 838-848, Jul. 2000.
3. G. K. Prasad and J. S. Sahambi, "Classification of ECG arrhythmias using multi-resolution analysis and neural networks, " in Proc. Conf. Convergent Technol. Asia-Pacific Region, Oct. 2003, pp. 227-231.
4. P. de Chazal, M. O. Dwyer, and R. B. Reilly, "Automatic classification of heartbeats using ECG morphology and heartbeat interval features, " IEEE Trans. Biomed. Eng., vol. 51, no. 7, pp. 1196-1206, Jul. 2004.
5. S. Osowski, L. T. Hoa, and T. Markiewic, "Support vector machinebased expert system for reliable heartbeat recognition, " IEEE Trans. Biomed. Eng., vol. 51, no. 4, pp. 582-589, Apr. 2004.
6. J. Rodriguez, A. Goni, and A. Illarramendi, "Real-time classification of ECGs on a PDA, " IEEE Trans. Info. Tech. Biomed., vol. 9, no. 1, pp. 23-34, Mar. 2005.
7. X. Jiang, L. Q Zhang, Q. B. Zhao, and S. Albayrak, "ECG arrhythmias recognition system based on independent component analysis feature extraction, " in Proc. IEEE Region 10 Conf., Nov. 2006, pp. 1-4.
8. P. de Chazal and R. B.Reilly, "A patient-adapting heartbeat classifier using ECG morphology and heartbeat interval features, " IEEE Trans. Biomed.Eng., vol. 53, no. 12, pp. 2535-2543, Dec. 2006.
9. W. Jiang and G. S. Kong, "Block-based neural networks for personalized ECG signal classification, " IEEE Trans. Neural Networks, vol. 18, no. 6, pp. 1750-1761, Nov. 2007.
10. T. Ince, S. Kiranyaz, and M. Gabbouj, "A generic and robust system for automated patient-specific classification of ECG signals, " IEEE Trans. Biomed. Eng., vol. 56, no. 5, pp. 1415-1426, May 2009.
11. M. Llamedo and J. P. Martinez, "Heartbeat classification using feature selection driven by database generalization criteria, " IEEE Trans. Biomed. Eng., vol. 58, no. 3, pp. 616-625, Mar. 2011.
12. L. de Oliveira, R. Andreao, and M. Sarcinelli, "Premature Ventricular beat classification using a dynamic Bayesian network, " in Proc. IEEE Int. Conf. Eng. Med. Biol. Soc., Aug./Sep. 2011, pp. 4984-4987.
13. G. de Lannoy, D. Francois, J. Delbeke, and M. Verleysen, "Weighted conditional random fields for supervised interpatient heartbeat classification, " IEEE Trans. Biomed. Eng., vol. 59, no. 1, pp. 241- 247, Jan. 2012.
14. A.S. Alvarado, C. Lakshminarayan and J.C. Principe, "Time-based compression and classification of heartbeats", IEEE Trans. Biomed. Eng., vol. 59, no. 6, pp. 1641-1648, June. 2012.
15. C. Ye, B.V.K Vijaya Kumar, M.T. Coimbra, " Heartbeat classification using morphological and dynamic features of ECG signals", IEEE Trans. Biomed. Eng., vol. 59, no. 10, pp. 2930-2941, Oct. 2012.
16. R. Mark and G. Moody, MIT-BIH Arrhythmia Database, 3rd Edition." May, 1997.
17. ANSI-AAMI EC57:1998 (American National Standard). Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. Association for the Advancement of Medical lnstrumentation, Arlington, VA, 1998.
18. ANSI ECAR:1987. Recommended practice for testing and reporting performance results of ventricular arrhythmia detection algorithms, Association for the Advancement of Medical lnstrumentation, Arlington, VA, 1987.
19. P. Laguna, R. Jané, P. Caminal, "Automatic Detection of Wave Boundaries in Multilead ECG Signals: Validation with the CSE Database, " Computers and Biomedical Research, vol 27(1):45-60, 1994.
20. R Jané R, A. Blasi, J. García, P. Laguna, "Evaluation of an automatic threshold based detector of waveform limits in Holter ECG with the QT database, " in Computers in Cardiology, vol. 24, pp. 295-298, 1997.
21. B.D. Ripley, Pattern Recognition and Neural Networks, Cambridge, England: Cambridge University Press, 1996.