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On analysis of sphygmogram

Z R Liu, X X Li

    Scientia Sinica. Series B, Chemical, Biological, Agricultural, Medical & Earth Sciences
    |December 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    This study models radial artery pressure sphygmograms, revealing how blood viscosity impacts pulse waves. Experimental results align with theoretical predictions and traditional Chinese medicine pulse assessments.

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    Area of Science:

    • Biomedical Engineering
    • Physiology
    • Medical Physics

    Background:

    • The radial artery pressure sphygmogram reflects cardiovascular dynamics.
    • Understanding the influence of physiological parameters on pulse wave morphology is crucial for diagnostics.

    Purpose of the Study:

    • To derive analytical expressions for the radial artery pressure sphygmogram considering blood viscosity.
    • To investigate the impact of arterial elasticity, blood viscosity, and resistance on pulse wave form.
    • To validate theoretical models using physiological experiments and traditional Chinese medicine pulse classifications.

    Main Methods:

    • Linear assumption modeling of radial artery pressure sphygmograms.
    • Analysis of pulse wave variations with physiological parameters.

    Related Experiment Videos

  • In vivo experiments involving demethyladrenalin and parasitic loranthus injections in dogs.
  • Comparison with traditional Chinese medicine pulse types (smooth, normal, wiry).

    • Main Results:

    • Analytical expressions for pressure sphygmograms were obtained, incorporating blood viscosity.
    • Demethyladrenalin increased vascular resistance, altering the sphygmogram consistent with theory.
    • Parasitic loranthus decreased vascular resistance, also aligning with theoretical predictions.
    • Observed pulse wave variations correlated with traditional Chinese medicine pulse characteristics.

    Conclusions:

    • Blood viscosity significantly influences radial artery pressure sphygmograms.
    • The developed analytical model accurately predicts pulse wave behavior under varying physiological conditions.
    • The study bridges Western physiological measurements with traditional Chinese medicine pulse diagnostics.