Comparison of four methods for premature ventricular contraction and normal beat clustering

Computers in Cardiology

Volumn 32, Issue , 2005, Pages 921-924

  Bortolan, G ^a   Jekova, I ^b   Christov, I ^b  

^a CNR   (Italy)

^b CENTRE OF BIOMEDICAL ENGINEERING   (Bulgaria)

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC PHENOMENA; DISEASES; FUZZY SETS; METABOLISM; NEURAL NETWORKS; VECTORS;

DISCRIMINANT ANALYSIS (DA); GLOBAL LEARNING; VENTRICULAR CONTRACTION;

CARDIOVASCULAR SYSTEM;

EID: 33847109827     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2005.1588258     Document Type: Conference Paper

References (24)

1. Millet J, Perez M, Joseph G, Mocholi A, Chorro J. Previous identification of QRS Onset and Offset is not essential for classifying QRS complex in a single lead. Computers in Cardiology 1997;24:299-302.
2. Moreas JCTB, Seixas MO, Vilani FN, Costa EV. A real time QRS complex classification method using Mahalanobis distance. Computers in Cardiology 2002; 29:201-204.
3. Christov I, Bortolan G. Neural networks for pattern recognition parameters ranking in premature ventricular contraction classification. Physiological Measurements 2004;25:1281-1290.
4. Chazal P, O'Dwyer M, Reilly RB. Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans Biomedical Engineering 2004; 51:1196-1206.
5. Jekova I, Bortolan G, Christov I. Pattern Recognition and Optimal Parameter Selection in Premature Ventricular Contraction Classification. Computers in Cardiology 2004; 31:357-360.
6. Christov I, Jekova I, Bortolan G. Premature ventricular contraction classification by the K-th nearest neighbours rule. Physiological Measurements 2005;26:123-130.
7. Senhadji L, Carrault G, Bellanger JJ, Passariello G. Comparing wavelet transforms for recognizing cardiac patterns. IEEE Eng Med Bio Mag 1995;14:167-173.
8. Herrero G G, Gotchev A, Christov I, Egiazarian K. Heartbeat classification using independent component analysis and matching pursuits. IEEE, Int. Conf. Acoustics, Speech and Signal Processing, ICASSP'2005, Philadelphia, Pennsylvania, USA 2005;4:725-728.
9. Ferrara ER, Widrow B. The time-sequenced adaptive filter. IEEE Trans Acoustics, Speech, and Signal Processing 1981;28:519-523.
10. Widrow B, Stearns SD. Adaptive signal processing. New Jersey: Prentice-Hall, 1985.
11. Thakor NV, Yi-Sheng Z. Application of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection. IEEE Trans Biomedical Engineering 1991; 38:785-794.
12. Laguna P, Jane R, Caminal P. Adaptive feature extraction for QRS classification and ectopic beat detection. IEEE Computer Society Press 1992; 613-616.
13. Laguna P, Jane R, Olmos S, Thakor NV, Rix H, Caminal P. Adaptive estimation of QRS complex wave features of ECG signal by the Hermite model. Medical & Biological Engineering & Computing 1996;34:58-68.
14. Al-Nashash H. Cardiac arrhythmia classification using neural networks. Technol. Health Care 2000;8:363-372.
15. Maglaveras N, Stamkopoulos T, Diamantaras K, Pappas C, Strintzis M. ECG pattern recognition and classification using non-linear transformations and neural networks: a review. I J Medical Informatics 1998;52:191-208.
16. Ham FM, Han S. Classification of cardiac arrhythmias using Fuzzy ARTMAP. IEEE Trans Biomedical Engineering 1996;43:425-430.
17. Lagerholm M, Peterson G, Braccini G, Edenbrandt L, Sörnmo L. Clustering ECG complex using Hermite Functions and self-organizing maps. IEEE Trans Biomedical Engineering 2000;47:838-848.
18. Hu YH, Palreddy S, Tompkins WJ. A patient-adaptable ECG beat classifier using a mixture of experts approach. IEEE Trans Biomedical Engineering 1997;44:891-900.
19. Mark R, Moody G. MIT-BIH Arrhythmia data base directory. Cambridge: Massachusetts Institute of Technology, 1988.
20. Fukunaga K. Introduction to statistical pattern recognition. New York: Academic Press, 1972.
21. Kissiov VT, Hadjitodorov ST. A fuzzy version of the K-NN method. Fuzzy Sets and Systems 1992;49:323-329.
22. Pedrycz W, Bortolan G, Degani R. Classification of Electrocardiographic signals: a fuzzy pattern matching approach. Artificial Intelligence in Medicine, 1991;3:31-46.
23. Chiu S. Fuzzy Model Identification Based on Cluster Estimation. J Intelligent & Fuzzy Systems 1994;2:267-268.
24. Jang JSR. ANFIS: Adaptive-Network-based Fuzzy Inference Systems. IEEE Trans Systems Man and Cybernetics 1993;23: 665-685.