Neural network analysis of doppler ultrasound blood flow signals: A pilot study

Ultrasound in Medicine and Biology

Volumn 23, Issue 5, 1997, Pages 683-690

  Wright, Isabel A ^a   Gough, Nigel A J ^b   Rakebrandt, Frank ^c   Wahab, Mohamed ^c   Woodcock, John P ^a  

^a UNIVERSITY HOSPITAL OF WALES   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Arterial disease; Artificial neural networks; Doppler Ultrasound; Maximum frequency envelopes; Pattern recognition

Indexed keywords

BLOOD VESSELS; COMPUTER AIDED ANALYSIS; DISEASES; DOPPLER EFFECT; HEMODYNAMICS; MEDICAL IMAGING; NEURAL NETWORKS; PATTERN RECOGNITION;

ARTERIAL DISEASE; DOPPLER ULTRASOUND; MAXIMUM FREQUENCY ENVELOPES;

ULTRASONIC IMAGING;

ADULT; ARTERY BLOOD FLOW; ARTICLE; BLOOD FLOW; COLOR ULTRASOUND FLOWMETRY; DATA ANALYSIS; DIAGNOSTIC IMAGING; HUMAN; NERVE CELL NETWORK; NORMAL HUMAN; PRIORITY JOURNAL;

ADULT; BLOOD FLOW VELOCITY; CAROTID ARTERY, COMMON; FEMALE; FEMORAL ARTERY; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PILOT PROJECTS; POPLITEAL ARTERY; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY, DOPPLER;

EID: 0030788716     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-5629(97)00011-2     Document Type: Article

References (18)

1. 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 1993;14:13-22.
2. Baird RN, Bird DR, Clifford PC, Lusby RJ, Skidmore R, Woodcock JP. Upstream stenosis: Diagnosis by Doppler signals from the femoral artery. Arch Surg 1980;115:1316-1322.
3. Baker JD, Machleder HI, Skidmore R. Analysis of femoral artery Doppler signals by Laplace transform damping method. J Vasc Surg 1984;1:520-524.
4. Baxt WG. Application of artificial neural networks to clinical medicine. Lancet 1995;346:1135-1138.
5. Baykal N, Reggia JA, Yalabik N, Erkmen A, Beksac MS. Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms. Computing in Medicine & Biology. 1996;26(6):451-462.
6. Beale R, Jackson T. Neural computing: An introduction. Bristol, UK: Institute of Physics. 1990.
7. Beastall WD. Recognition of radar signals by neural networks. In: First IEE International Conference on Artificial Neural Networks (London, October 1989). London: IEEE, 1989;139-142.
8. Bounds DG, Bruce M, Waddell G. A multi-layer perceptron network for the diagnosis of low back pain. In: IEEE International Conference on Neural Networks (San Diego, CA, July 1988), vol II. Piscataway, NJ: IEEE, 1988:481-489.
9. Chervu A, Moore WS. Carotid endarterectomy without arteriography. Ann Vasc Surg 1994;8:296-302.
10. Cross SS, Harrison RF, Kennedy RL. Introduction to neural networks. Lancet 1995;346:1075-1079.
11. Davies AH, Willcox JH, Magee I, Currie SE, Cole SEA, Murphy P. Colour duplex in assessing the infrainguinal arteries in patients with claudication. Cardiovasc Surg 1995;3:211-212.
12. Dybowski R, Gant V. Artificial neural networks in pathology and medical laboratories. Lancet 1995;346:1203-1207.
13. Edenbrandt L, Heden B, Pahlm O. Neural networks for analysis of ECG complexes. J Electrocardiol 1993;26:66-73.
14. Evans DH. A pulse-foot-seeking algorithm for Doppler ultrasound waveforms. Clin Phys Physiol Meas 1989;3:267-271.
15. Evans DH, McDicken WN, Skidmore R, Woodcock JP. Doppler ultrasound: Physics, instrumentation and clinical applications. Chichester, UK: Wiley, 1989.
16. Gorman RP, Sejnowski TJ. Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks 1989;1:75-90.
17. Gosling RG, King DH. Continuous wave ultrasound as an alternative and complement to X-rays in vascular examination. In: Reneman RS, ed. Cardiovascular applications of ultrasound. Amsterdam: North-Holland, 1974:266-282.
18. Haykin S. Neural networks: A comprehensive foundation. New York: Macmillan, 1994.