Assessment and comparison of different methods for heartbeat classification

Medical Engineering and Physics

Volumn 30, Issue 2, 2008, Pages 248-257

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

^a CENTRE OF BIOMEDICAL ENGINEERING   (Bulgaria)

^b CNR   (Italy)

Author keywords

Automatic heartbeat classification; Discriminant analysis; Fuzzy logic; Kth nearest neighbour rule; Neural networks

Indexed keywords

DATABASE SYSTEMS; DISCRIMINANT ANALYSIS; FUZZY LOGIC; IMAGE CLASSIFICATION; NEURAL NETWORKS; SIGNAL ANALYSIS;

AUTOMATIC HEARTBEAT CLASSIFICATION; KTH NEAREST NEIGHBOUR RULE;

ELECTROCARDIOGRAPHY;

ARTICLE; ARTIFACT; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; ELECTROCARDIOGRAM; FUZZY LOGIC; HEART BEAT; HEART DISEASE; HEART LEFT BUNDLE BRANCH BLOCK; HEART PACING; HEART RIGHT BUNDLE BRANCH BLOCK; HEART VENTRICLE EXTRASYSTOLE; HUMAN; MATHEMATICAL MODEL; PRIORITY JOURNAL; QRS COMPLEX; VECTORCARDIOGRAPHY;

ARRHYTHMIAS, CARDIAC; BIOMEDICAL ENGINEERING; DISCRIMINANT ANALYSIS; ELECTROCARDIOGRAPHY; FUZZY LOGIC; HEART CONDUCTION SYSTEM; HEART DISEASES; HUMANS; MODELS, CARDIOVASCULAR; MYOCARDIAL CONTRACTION; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 38149072227     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2007.02.003     Document Type: Article

References (27)

1. Christov I., Gómez-Herrero G., Krasteva V., Jekova I., Gotchev A., and Egiazarian K. Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification. Med Eng Phys 28 (2006) 876-887
2. Bortolan G., Jekova I., and Christov I. Comparison of four methods for premature ventricular contractions and normal beats clustering. Comput Cardiol 32 (2005) 921-924
3. Chazal P., O'Dwyer M., and Reilly R.B. Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans Biomed Eng 51 (2004) 1196-1206
4. Jekova I., Bortolan G., and Christov I. Pattern recognition and optimal parameter selection in premature ventricular contraction classification. Comput Cardiology 31 (2004) 357-360
5. Christov I., and Bortolan G. Ranking of pattern recognition parameters for premature ventricular contraction classification by neural networks. Physiol Meas 25 (2004) 1281-1290
6. Gómez-Herrero G., Gotchev A., Christov I., and Egiazarian K. Heartbeat classification using independent component analysis and matching pursuits. IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 4 (2005), ICASSP, Philadelphia, USA 725-728
7. Al-Nashash H. Cardiac arrhythmia classification using neural networks. Technol Health Care 8 (2000) 363-372
8. Maglaveras N., Stamkopoulos T., Diamantaras K., Pappas C., and Strintzis M. ECG pattern recognition and classification using non-linear transformations and neural networks: a review. Int J Med Inform 52 (1998) 191-208
9. Ham F.M., and Han S. Classification of cardiac arrhythmias using fuzzy ARTMAP. IEEE Trans Biomed Eng 43 4 (1996) 425-430
10. Lagerholm M., Peterson G., Braccini G., Edenbrandt L., and Sörnmo L. Clustering ECG complex using Hermite functions and self-organizing maps. IEEE Trans Biomed Eng 47 7 (2000) 838-848
11. Moreas J.C.T.B., Seixas M.O., Vilani F.N., and Costa E.V. A real time QRS complex classification method using Mahalanobis distance. Comput Cardiol 29 (2002) 201-204
12. Christov I., Jekova I., and Bortolan G. Premature ventricular contraction classification by the Kth nearest neighbours rule. Physiol Meas 26 (2005) 123-130
13. Hu Y.H., Palreddy S., and Tompkins W.J. A patient-adaptable ECG beat classifier using a mixture of experts approach. IEEE Trans Biomed Eng 44 9 (1997) 891-900
14. Mark R., and Moody G. MIT-BIH Arrhythmia database directory (1988), Massachusetts Institute of Technology, Cambridge
15. Daskalov I.K., Dotsinsky I.A., and Christov I. Developments in ECG acquisition, preprocessing, parameter measurement and recording. IEEE Eng Med Biol 17 (1998) 50-58
16. Daskalov I.K., and Christov I. Electrocardiogramsignal preprocessing for automatic detection of QRS boundaries. Med Eng Phys 21 1 (1999) 37-44
17. Fukunaga K. Introduction to statistical pattern recognition (1972), Academic Press, New York
18. Kissiov V.T., and Hadjitodorov S.T. A fuzzy version of the K-NN method. Fuzzy Sets Syst 49 (1992) 323-329
19. Pedrycz W., Bortolan G., and Degani R. Classification of electrocardiographic signals: a fuzzy pattern matching approach. Artif Intell Med 3 (1991) 31-46
20. Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference systems. IEEE Trans Syst Man Cybern 23 3 (1993) 665-685
21. Chiu S. Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2 3 (1994) 267-268
22. Sugeno M. Industrial applications of fuzzy control (1985), Elsevier Science Publishers, North Holland
23. Tabachnick B.G., and Fidell L.S. Using multivariate statistics (1996), Harper Collins College Publishers, New York
24. Xue Q., Hu Y.H., and Tompkins W.J. Neural-network-based adaptive matched filtering for QRS detection. IEEE Trans Biomed Eng 39 (1992) 317-329
25. Yang T.F., Devine B., and Macfarlane P.W. Artificial neural networks for the diagnosis of atrial fibrillation. Med Biol Eng Comput 32 (1994) 615-619
26. Silipo R., Bortolan G., and Marchesi C. Design of hybrid architectures based on neural classifier and RBF pre-processing for ECG analysis. I. J Approx Reason 21 (1999) 177-196
27. Michaelis J., Wellek S., and Willems J.L. Reference standards for software evaluation. Methods Inform Med 29 (1990) 289-297