Artificial neural network analysis of common femoral artery Doppler shift signals: Classification of proximal disease

Ultrasound in Medicine and Biology

Volumn 25, Issue 5, 1999, Pages 735-743

  Wright, Isabel A ^a   Gough, Nigel A J ^a  

^a UNIVERSITY HOSPITAL OF WALES   (United Kingdom)

Author keywords

Arterial disease; Artificial neural networks; Common femoral artery; Doppler ultrasound; Maximum frequency envelopes; Pattern recognition

Indexed keywords

BACKPROPAGATION; BLOOD VESSELS; DISEASES; DOPPLER EFFECT; HEMODYNAMICS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; ULTRASONIC VELOCITY;

ARTERIAL DISEASE; COMMON FEMORAL ARTERY; DOPPLER ULTRASOUND; MAXIMUM FREQUENCY ENVELOPES;

ULTRASONIC IMAGING;

ADULT; AGED; ARTERY DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; DOPPLER FLOWMETRY; FEMALE; FEMORAL ARTERY; HUMAN; MAJOR CLINICAL STUDY; MALE; PATTERN RECOGNITION; PRIORITY JOURNAL; SIGNAL PROCESSING; WAVEFORM;

ADULT; AGED; AGED, 80 AND OVER; ARTERIAL OCCLUSIVE DISEASES; DIAGNOSIS, COMPUTER-ASSISTED; DOPPLER EFFECT; FEMALE; FEMORAL ARTERY; FOURIER ANALYSIS; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY;

EID: 0033009092     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-5629(99)00015-0     Document Type: Article

References (48)

1. Aburahma A.F., Robinson P.A., Boland J.P., Umstot R.K., Clubb E.A., Grandia R.A., Kennard W., Bastug D.F. Complications of arteriography in a recent series of 707 cases factors affecting outcome . Ann Vasc Surg. 7:1993;122-129.
2. Akay M. Non-invasive diagnosis of coronary artery disease using a neural network algorithm. Biol Cybernet. 67:1992;361-367.
3. Allard L., Cloutier G., Durand L.-G., Roederer G.O., Langlois Y.E. Limitations of ultrasonic duplex scanning for diagnosing lower limb arterial stenoses in the presence of adjacent segment disease. J Vasc Surg. 19:1994;650-657.
4. Allen J., 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.
5. Allen J., Murray A. Prospective assessment of an artificial neural network for the detection of peripheral vascular disease from lower limb pulse waveforms. Physiol Meas. 16:1995;39-42.
6. Baird R.N., Bird D.R., Clifford P.C., Lusby R.J., Skidmore R., Woodcock J.P. Upstream stenosis diagnosis by Doppler signals from the femoral artery . Arch Surg. 115:(11):1980;1316-1322.
7. Baker J.D. Surgical Clinics of North America. 70:(1):1990;31-34.
8. 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.
9. Baxt W.G. Application of artificial neural networks to clinical medicine. Lancet. 346:1995;1135-1138.
10. Baykal N., Reggia J.A., Yalabik N., Erkmen A., Beksac M.S. Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms. Comput Med Biol. 26:(6):1996;451-462.
11. Beale R., Jackson T. Neural computing an introduction . 1990;Institute of Physics Publishing, Bristol, UK.
12. Bishop C.M. Neural networks a pattern recognition perspective . 1995;Oxford University Press, Oxford, UK.
13. Chervu A., Moore W.S. Carotid endarterectomy without arteriography. Ann Vasc Surg. 8:(3):1994;296-302.
14. Cross S.S., Harrison R.F., Kennedy R.L. Introduction to neural networks. Lancet. 346:1995;1075-1079.
15. Davies A.H., Willcox J.H., Magee I., Currie S.E., Cole S.E.A., Murphy P. Colour duplex in assessing the infrainguinal arteries in patients with claudication. Cardiovasc Surg. 3:(2):1995;211-212.
16. Dybowski R., Gant V. Artificial neural networks in pathology and medical laboratories. Lancet. 346:1995;1203-1207.
17. Edenbrandt L., Heden B., Pahlm O. Neural networks for analysis of ECG complexes. J Electrocardiol. 26:1993;66-73.
18. Evans D.H., McDicken W.N., Skidmore R., Woodcock J.P. Doppler ultrasound physics, instrumentation and clinical applications . 1989;J Wiley & Sons, Chichester, UK.
19. Geitung J.T., Wikstrom T., Zeuchner J., Gothlin J.H. Cost-effectiveness of colour Duplex sonography compared with arteriography of the pelvis and lower limb. Eur Radiol. 6:1996;481-484.
20. Gosling R.G., King D.H. Continuous wave ultrasound as an alternative and complement to X-rays in vascular examination. Reneman R.S. Cardiovascular applications of ultrasound. 1974;266-282 North-Holland, Amsterdam.
21. Gurgen F., Onal E., Varol F.G. IUGR detection by ultrasonographic examinations using neural networks. IEEE Eng Med Biol. 16:(3):1997;55-58.
22. Haykin S. Neural networks a comprehensive foundation . 1994;Macmillan College Publishing Company, New York.
23. Hilera J.R., Martinez V.J., Mazo M. ECG signal processing with neural networks. Int J Uncert Fuzz Knowl Based Syst. 3:(4):1995;419-430.
24. Hush D.R., Horne B.G. Progress in supervised neural networks. IEEE Signal Process Mag. January:1993;8-39.
25. Johnston K.W., Kassam M., Koers J., Cobbold R.S.C., MacHattie D. Comparative study of four methods for quantifying Doppler ultrasound waveforms from the femoral artery. Ultrasound Med Biol. 10:(1):1984;1-12.
26. Junger M., Chapman B.L.W., Underwood C.J., Charlesworth D. A comparison between two types of waveform analysis in patients with multisegmental arterial disease. Br J Surg. 71:1984;345-348.
27. Langsfeld M., Nepute J., Hershey F.B., Thorpe L., Auer A.I., Binnington H.B., Hurley J.J., Peterson G.J., Schwartz R., Woods J.J. The use of deep duplex scanning to predict hemodynamically significant aorto-iliac stenoses. J Vasc Surg. 7:1988;395-399.
28. Lowe D., Webb A.R. Exploiting prior knowledge in network optimisation an illustration from medical prognosis . Network. 1:1990;299-323.
29. Lynn P.A. An introduction to the analysis and processing of signals. 2nd ed. 1982;Macmillan, London, UK.
30. Macpherson D.S., Evans D.H., Bell P.R.F. Common femoral artery Doppler waveforms a comparison of three methods of objective analysis with direct pressure measurements . Br J Surg. 71:1984;46-49.
31. McClelland J.L., Rumelhart D.E. Explorations in parallel distributed processing a handbook of models, programs and exercises . 1986;MIT Press, Cambridge, MA.
32. Miller A.S., Blott B.H., Harries T.K. Review of neural network applications in medical imaging and signal processing. Med Biol Eng Comput. 30:1992;449-464.
33. Mo L.Y., Yun L.C.M., Cobbold R.S.C. Comparison of four maximum frequency estimators for Doppler ultrasound. Ultrasound Med Biol. 14:(5):1988;355-363.
34. Nichols W.W., O'Rourke M.F. McDonald's blood flow in arteries Theoretical, experimental and clinical principles . 3rd ed. 1990;Edward Arnold, London, UK.
35. Ohno-Machado L., Musen M. Sequential versus standard neural networks for pattern recognition an example using the domain of coronary heart disease . Comput Biol Med. 27:(4):1997;267-281.
36. Ortiz J., Ghefter C.G.M., Silva C.E.S., Sabbatini R.E.M. One-year mortality prognosis in heart failure a neural network approach based on echocardiographic data . J Am Coll Cardiol. 26:1995;1586-1593.
37. Planiol T., Pourcelot L. Doppler effect study of the carotid circulation. Ultrasonics in medicine. 1973;Elsevier, New York.
38. Poli R., Cagnoni S., Livi R., Coppini G., Valli G. A neural network expert system for diagnosing and treating hypertension. Computer. March:1991;64-71.
39. Prahadan N., Sadasivan P.K., Arunodaya G.R. Detection of seizure activity in EEG by an artificial neural network a preliminary study . Comput Biomed Res. 29:(4):1996;303-313.
40. Rosfors S., Eriksson M., Hoglund N., Johannsen G. Duplex ultrasound in patients with suspected aorto-iliac occlusive disease. Euro J Vasc Surg. 7:1993;513-517.
41. Sensier Y., Hartshorne T., Thrush A., Nydahl S., Bolia A., London N.J.M. A prospective comparison of lower limb colour-coded duplex scanning with arteriography. Eur J Vasc Endovasc Surg. 11:1996;170-175.
42. Siebler M., Rose G., Sitzer M., Bender A., Steinmetz R. Real-time identification of cerebral microemboli with ultrasound feature detection by a neural network. Radiology. 192:1994;739-742.
43. Smith J.H., Graham J., Taylor R.J. The application of an artificial neural network to Doppler ultrasound waveforms for the classification of arterial disease. Int J Clin Monit Comput. 13:1996;85-91.
44. Su M.-C. Use of neural networks as medical diagnosis expert systems. Comput Biol Med. 24:(6):1994;419-429.
45. Thiele B.L., Strandness D.E. Accuracy of angiographic quantification of peripheral atherosclerosis. Progr Cardiovasc Dis. 26:(3):1983;223-236.
46. Van der Heijden F.H.W.M., Legemate D.A., Van Leeuwen M.S., Mali W.P.T.M., Eikelboom B.C. Value of duplex scanning in the selection of patients for percutaneous transluminal angioplasty. Eur J Vasc Surg. 7:1993;71-76.
47. Wright I.A., Gough N.A.J., Rakebrandt F., Wahab M., Woodcock J.P. Neural network analysis of Doppler ultrasound blood flow signals a pilot study . Ultrasound Med Biol. 23:(5):1997;683-690.
48. Wright I.A., Gough N.A.J. Neural network analysis of common femoral artery Doppler shift signals classification of proximal disease . Med Biol Eng Comput. 35:(S1):1997;543.