Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network

Computers in Biology and Medicine

Volumn 37, Issue 1, 2007, Pages 28-36

  Ceylan, Murat ^a   Ceylan, Rahime ^a   Dirgenali, Fatma ^b   Kara, Sadik ^b   Özbay, Yüksel ^a  

^a SELCUK UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Atherosclerosis; Carotid artery; Complex valued ANN; Doppler

Indexed keywords

ATHEROSCLEROSIS; CAROTID ARTERIES; COMPLEX VALUED ANN; COMPLEX VALUED ARTIFICIAL NEURAL NETWORK (CVANN);

DIAGNOSIS; DOPPLER EFFECT; FUZZY SETS; NEURAL NETWORKS; PATIENT MONITORING; ULTRASONICS;

CARDIOLOGY;

ADULT; AGED; ALGORITHM; ANGIOCARDIOGRAPHY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROSIS; CAROTID ARTERY; CLASSIFICATION; CLINICAL ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; DOPPLER ECHOGRAPHY; DOPPLER FLOWMETRY; FEMALE; HUMAN; MALE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; VALIDATION PROCESS;

ADULT; AGED; ATHEROSCLEROSIS; CAROTID ARTERIES; CASE-CONTROL STUDIES; COMPUTER SIMULATION; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; NEURAL NETWORKS (COMPUTER); REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY, DOPPLER;

EID: 33750041345     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.08.005     Document Type: Article

References (40)

1. T. Hirai, S. Sasayama, T. Kawasaki, S. Yagi, Stiffness of systemic arteries in patients with myocardial infarction, A noninvasive method to predict severity of coronary atherosclerosis, Circulation (1989) 78-86.
2. C. Stefanadis, C. Stratos, H. Boudoulas, C. Kourouklis, P. Toutouzas, Distensibility of the ascending aorta, comparison of invasive and non-invasive techniques in healthy men and in men with coronary artery disease, Eur Heart J. (1990) 990-996.
3. A.M. Dart, F. Lacombe, J.K. Yeoh, J.D. Cameron, G.L. Jennings, E. Laufer, D.S. Esmore, Aortic distensibility in patients with isolated hyper-cholesterolaemia, coronary artery disease, or cardiac transplant, Lancet (1991) 270-273.
4. A.P. Avolio, S. Chen, R. Wang, et al., Effects of aging on changing arterial compliance and left ventricular load in a northern Chinese urban community, Circulation (1983) 50-58.
5. B. Heints, T. Gillessen, F. Walkenhorst, et al., Evaluation of segmental elastic properties of the aorta in normotensive and medically treated hypertensive patients by intravascular ultrasound, J. Hypertens (1993) 1253-1258.
6. Z. Liu, C. Ting, S. Zhu, F.C.P. Yin, Aortic compliance in human hyper-tension, Hypertension (1989) 129-136.
7. K.E.J. Airaksinen, P.I. Salmela, M.K. Linnaluoto, et al., Diminished arterial elasticity in diabetes: association with fluorescent advanced glycosylation end products in collagen, Cardiovasc. Res. (1993) 942-945.
8. E.D. Lehmann, G.F. Watts, R.G. Gosling, Aortic distensibility and hyper-cholesterolaemia, Lancet (1992) 1171-1172.
9. C. Stefanadis, E. Tsiamis, C. Vlachopoulos, et al., Unfavorable effect of smoking on the elastic properties of the human aorta, Circulation (1997) 31-38.
10. B. Syeda, M. Gottsauner-Wolf, S. Denk, P. Pichler, A. Khorsand, D. Glogar, Arterial Compliance: A Diagnostic Marker for Atherosclerotic Plaque Burden, AJH, 2003, pp. 356-362.
11. Hoskins P.R., McDicken W.N., and Allan P.L. Haemodynamics and blood flow. In: Allan P.L., Dubbins P.A., Pozniak M.A., and McDicken W.N. (Eds). Clinical Doppler Ultrasound (2000), Churchill Livingstone, London 27-38
12. F.J. Schoen, R.S. Cotran, Blood Vessels Pathologic Basis of Disease, sixth ed., W.B. Saunders Company Press, Philadelphia, 1999, pp. 493-542.
13. P. Libley, Prevention and treatment of atherosclerosis, in: E. Braunwald, A.S. Fauci, D.L. Kasper, S.L. Hauser, D.L. Longo, J.L. Jameson (Eds.), Harrison's Principles of Internal Medicine, 15thed., McGraw-Hill, London, 2001, pp. 1382-1385.
14. Evans D. Doppler signal Analysis. Ultrasound Med. Biol. vol. 26 Suppl. 1 (2000) S13-S15
15. Miller A.S., Blott B.H., and Hames T.K. Review of neural network applications in medical imaging and signal processing. Med. Biol. Eng. Comput. 30 (1992) 449-464
16. Baxt W.G. Use of an artificial neural network for data analysis in clinical decision making. the diagnosis of acute coronary occlusion, Neural Comput. 2 (1990) 480-489
17. Allen J., and Murray A. Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms. Physiol. Meas. 14 (1993) 13-22
18. W.G. Baxt, Application of artificial neural networks to clinical medicine, Lancet (1995) 1135-1138.
19. Edenbrandt L., Heden B., and Pahlm O. Neural networks for analysis of ECG complexes. J. Electrocardiol. 26 (1993) 66-73
20. R. Dybowski, V. Gant, Artificial neural networks in pathology and medical laboratories, Lancet (1995) 1203-1207.
21. Baykal N., Reggia J.A., Yalabi{dotless}k N., Erkmen A., and Beksac M.S. Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms. Comput. Med. Biol. 26 (1996) 451-462
22. Siebler M., Rose G., Sitzer M., Bender M., and Steinmetz H. Real-time identification of cerebral microemboli with US feature detection by a neural network. Radiology 3 (1994) 739-742
23. Serhatlioǧlu S., Hardalaç F., and Guler I. Classification of transcranial Doppler signals using artificial neural network. J. Med. Syst. 27 2 (2003)
24. Turkoǧlu I., Arslan A., and Ilkay E. An intelligent system for diagnosis of the heart valve diseases. Expert Syst. Appl. 23 (2002) 229-236
25. Turkoǧlu I., Arslan A., and Ilkay E. An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks. Comput. Biol. Med. 33 (2003) 319-331
26. Ubeyli E.D., and Guler I. Neural network analysis of internal carotid arterial Doppler signals: predictions of stenosis and occlusion. Expert Syst. Appl. 25 (2003) 1-13
27. S. Kara, A study of mitral and tricuspid valve blood flows by autoregressive spectral analysis method and Doppler Unit, Thesis of Doctorate, Institute of Science of Erciyes University Press, 1995.
28. Joseph J., and Brown J.M. Introduction to Biomedical Equipment Technology (1993), Prentice-Hall, New Jersey
29. Ati{dotless}kson P. Doppler Ultrasound and its use in Clinical Measurement (1982), Prentice-Hall, New Jersey
30. Arenson J.W. Real-time Two-dimensional Blood Flow Imaging using a Doppler Ultrasound Array (1982), McGraw-Hill, New York
31. F. Dirgenali, S. Kara, N. Erdoǧan, M. Okandan, Comparison of the autoregressive modeling and fast fourier transformation in demonstrating Doppler spectral waveform changes in the early phase of atherosclerosis, Comput. Biol. Med. 35 (2005) 57-66.
32. Evans D.H., and Skidmore W.N. Doppler Ultrasound: Physics, Instrumentation and Clinical Applications (1989), Wiley, New York
33. Proakis J.G., Rader C.M., Fuyun L., and Chrysostomos L. Advanced Digital Signal Processing (1992), Macmillan, New York, NY
34. Engin M. ECG beat classification using neuro-fuzzy network. Pattern Recognition Lett. 25 (2004) 1715-1722
35. Wang X., and Paliwal K.K. Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition. Pattern Recognition Soc. 36 (2003) 2429-2439
36. T. Nitta, An extension of the back-propagation algorithm to complex numbers, Neural Network 10(9) (1997) 1391-1415
37. T. Nitta, A back-propagation algorithm for complex numbered neural networks, Proc. Int. J. Conf. Neural Networks (1993) 1649-1652.
38. Nitta T. An analysis of the fundamental structure of complex-valued neurons. Neural Process. Lett. 12 (2000) 239-246
39. M. Ceylan, Y. Özbay, R. Pektatlý, Complex-valued neural network for pattern classification, IJCI Proceedings of the International XII, Turkish Symposium on Artificial Intelligence and Neural Networks, vol. 1, July-2003, pp. 344-347.
40. Haykin S. Adaptive Filter Theory (2002), Prentice-Hall, Englewood cliffs, NJ