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Analysis of application possibilities of autoregressive modelling to doppler blood flow signal spectral analysis

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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.

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  1. Biomedical Engineering Group, IBSPiE, Warsaw Technical University, ul. Chodkiewicza 8, 02-525, Warsaw, Poland

    K. Kaluzynski

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  1. K. Kaluzynski
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Kaluzynski, K. Analysis of application possibilities of autoregressive modelling to doppler blood flow signal spectral analysis. Med. Biol. Eng. Comput. 25, 373–376 (1987). https://doi.org/10.1007/BF02443356

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  • DOI: https://doi.org/10.1007/BF02443356

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