Real-time system for robust spectral parameter estimation in Doppler signal analysis

  • C. Di Giuliomaria
  • M. Capponi
  • T. D'Alessio
  • R. Sacco
  • E. Zanette
Computing and Data Processing

Abstract

In assessing the level of stenosis in extracranial Doppler analysis, spectral analysis has until now been used qualitatively, for the most part. Owing to the many variables affecting the measurements (mainly noise level and instrument setting made subjectively by the operator), the reliability of the inferences on the degree of stenosis is not clearly definable. Under such conditions the need arises for algorithms and systems that can estimate spectral parameters with a higher degree of accuracy, to verify whether reliable inferences can indeed by made or if this technique is only a qualitative one. In the paper a real-time spectral analysis system is described. The system relies on a new spectral estimation algorithm which gives estimates with good robustness with respect to noise. Moreover, a clear measurement procedure which eliminates the many subjective factors affecting the estimates has also been proposed and used. The system has been evaluated with simulated signals and in clinical trials and has shown better performance than the commonly used commercial analysers.

Keywords

Decision procedures Doppler signals Real-time spectral analysis 

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References

  1. Brody, W. andMeindl, J. (1974) Theoretical analysis of the CW doppler ultrasonic flowmeter.IEEE Trans.,BME-21, 183–192.Google Scholar
  2. Brown, P. M., Johnston, K. W., Kassam, M. andCobbold, R. S. (1982) A critical study of ultrasound doppler spectral analysis for detecting carotid disease.Ultr. in Med. & Biol.,8, 512–523.Google Scholar
  3. D'Alessio, T. (1985) ‘Objective’ algorithm for maximum frequency estimation in Doppler spectral analysers.Med. & Biol. Eng. & Comput.,23, 63–68.Google Scholar
  4. D'Alessio, T., Di Giuliomaria, C., Sacco, R., Manca, G. andZanette, E. (1986) Accuracy in the estimation of spectral parameters for doppler signals. Proc. Mecombe '86, Sevilla, 215–218.Google Scholar
  5. Di Giuliomaria, C., Sacco, R., D'Alessio, T., Di Marzo, L., Sciacca, V., Sterpetti, A. andCavallaro, A. (1984) Relative section evaluation: a means of completing ultrasound doppler analysis of peripheral arterial vessels.Il Policlinico, Sez. Chir.,91, (2), 105–111.Google Scholar
  6. Gibbons, D. T., Evans, D. H., Barrie, W. W. andCosgriff, P. S. (1981) Real-time calculation of ultrasonic pulsatility index.Med. & Biol. Eng. & Comput.,19, 28–34.Google Scholar
  7. Greene, F. M., Beach, K., Strandness, D. E., Fell, G. andPhillips, D. J. (1982) Computer based pattern recognition of carotid arterial disease using pulsed doppler ultrasound.Ultr. in Med. & Biol.,8, 161–176.CrossRefGoogle Scholar
  8. Jenkins, G. M. andWatts, D. G. (1968)Spectral analysis and its applications. Holden Day.Google Scholar
  9. Langlois, Y. E., Greene, F. M., Roederer, G., Jager, K., Phillips, D., Beach, K. andStrandness, E. (1984) Computer based pattern recognition of carotid artery doppler signal for disease classification: prospective validation.Ultr. in Med. & Biol.,10, 581–595.CrossRefGoogle Scholar
  10. Murphy, C. andRolfe, P. (1986) Application of the TMS320 signal processor for the real time processing of the doppler ultrasound spectra. IEEE EMBS Conf., Fort Worth, Nov. 1986, 1175–1178.Google Scholar
  11. Oppenheim, A. V., andShafer, R. W. (1975)Digital signal processing. Prentice Hall.Google Scholar
  12. Ritgers, S. E., Thornill, B. M. andBarnes, R. W. (1983) Quantitative analysis of carotid artery Doppler spectral waveforms: diagnostic value of parameters.Ultr. in Med. & Biol.,9, 255–264.CrossRefGoogle Scholar
  13. Wijn, P. F. F., van der Sar, P., Gootzen, T. H. J. M., Tilmans, M. H. J. andSkotnicki, S. H. (1987), Value of the spectral broadening index in continuous wave Doppler measurements.Med. & Biol. Eng. & Comput.,25, 377–385.Google Scholar
  14. Zanette, E., D'Alessio, T., Di Giuliomaria, C., Sacco, R. andCapponi, M. (1988) A test system for the assessment of performances of doppler signal processor.JTBM Revue,9, 392–401.Google Scholar

Copyright information

© IFMBE 1980

Authors and Affiliations

  • C. Di Giuliomaria
    • 1
  • M. Capponi
    • 1
  • T. D'Alessio
    • 2
  • R. Sacco
    • 1
  • E. Zanette
    • 3
  1. 1.Biotronix srl, Lungotevere dei Mellini 44RomaItaly
  2. 2.Dipartimento INFOCOM and CIBUniversità di Roma La SapienzaRomaItaly
  3. 3.Diparttimento Scienze NeurologicheUniversità di Roma La SapienzaRomaItaly

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