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  • 1
    Electronic Resource
    Electronic Resource
    Analysis of application possibilities of autoregressive modelling to doppler blood flow signal spectral analysis (1987)
    Springer
    Medical & biological engineering & computing 25 (1987), S. 373-376 
    Details
    ISSN: 1741-0444
    Keywords: Autoregressive modelling ; Doppler blood flow signal ; Fourier transform ; Spectrum analysis ; Velocity distribution
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract The spectral analysis of Doppler blood flow velocity signals enjoys wide-spread interest owing to the exhaustive information on the signal which it yields. The discrete Fourier transform is the most extensively used method of analysis. However, the statistical stability of such analysis is poor; spectral smoothing, which improves the statistical stability, also results in greater width and poorer resolution of the spectrum. Autoregressive modelling has been found to give better results when analysing small sample volumes obtained from a pulsed velocimeter (narrow spectrum), even for short data lengths.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02443356
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  • 2
    Electronic Resource
    Electronic Resource
    Effect of method and parameters of spectral analysis on selected indices of simulated Doppler spectra (1993)
    Springer
    Medical & biological engineering & computing 31 (1993), S. 249-256 
    Details
    ISSN: 1741-0444
    Keywords: Autoregressive modelling ; Doppler spectrum ; Fast Fourier transform ; Maximum Doppler frequency ; Mean Doppler frequency ; Minimum variance method ; Spectral broadening index ; Turbulence intensity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract The sensitivity of Doppler spectral indices (mean frequency, maximum frequency, spectral broadening index and turbulence intensity) to the conditions of spectral analysis (estimation method, data window, smoothing window or model order) increases with decreasing signal bandwidth and growing index complexity. The bias of spectral estimate has a more important effect on these indices than its variance. A too low order, in the case of autoregressive modelling and minimum variance methods, and excessive smoothing, in the case of the FFT method, result in increased errors of Doppler spectral indices. There is a trade-off between the errors resulting from a short data window and those due to insufficient temporal resolution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02458044
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  • 3
    Electronic Resource
    Electronic Resource
    Selection of a spectral analysis method for the assessment of velocity distribution based on the spectral distribution of ultrasonic Doppler signals (1989)
    Springer
    Medical & biological engineering & computing 27 (1989), S. 463-469 
    Details
    ISSN: 1741-0444
    Keywords: Autoregressive modelling ; Fourier transform ; Maximum likelhood method ; Spectrum analysis ; Ultrasonic Doppler signal ; Velocity distribution ; Wigner-Ville distribution
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract The direct Fourier transform method, autoregressive modelling, the maximum likelihood method and the Wigner-Ville distribution were applied to the Doppler signal obtained from a fully insonated laminar model flow. The appreciation of the spectral method was based on the properties of the ratio variance/(fmean)2 (INT) of the spectrum. The basic criterion was the sensitivity of INT to the analysis parameters, especially the data window. The results of spectral analysis, as well as the properties of INT, were strongly affected by the method applied. The maximum likelihood method appeared best suited for the purpose of assessment of velocity distribution and is expected to give the best results in the case of in vivo blood flow. The performances of other discussed methods were inferior, due to their stronger incompatibility with the signal properties.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02441462
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  • 4
    Electronic Resource
    Electronic Resource
    Order selection in Doppler blood flow signal spectral analysis using autoregressive modelling (1989)
    Springer
    Medical & biological engineering & computing 27 (1989), S. 89-92 
    Details
    ISSN: 1741-0444
    Keywords: Autoregressive modelling ; Doppler blood flow signal ; Model order selection ; Spectrum analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02442176
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