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Computer analysis of cardiovascular parameters.

H J Mass, J T Gean, P A Gwirtz

    Computers in Biology and Medicine
    |January 1, 1987
    PubMed
    Summary
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    This study introduces a versatile computer program for analyzing cardiovascular parameters in animal models. The software processes data from various physiological measurements, offering comprehensive cardiovascular assessment.

    Area of Science:

    • Cardiovascular Physiology
    • Biomedical Engineering
    • Animal Models in Research

    Background:

    • Accurate analysis of cardiovascular parameters is crucial for physiological research.
    • The chronically instrumented dog model is frequently used for cardiovascular studies.
    • Existing analysis methods may lack comprehensive data integration capabilities.

    Purpose of the Study:

    • To develop and describe a computer program for analyzing multiple cardiovascular parameters.
    • To facilitate the analysis of data from the chronically instrumented dog model.
    • To provide a flexible tool for derived cardiovascular data computation.

    Main Methods:

    • Utilized an Apple IIe microcomputer with an ADALAB analog-to-digital convertor.
    • Stored cardiovascular data on magnetic tape for subsequent analysis.

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  • Developed algorithms to analyze left ventricular pressure, myocardial segment length, coronary flow velocity, and systemic arterial pressure.

    • Main Results:

    • The program analyzes key cardiovascular metrics including left ventricular dP/dtmax, pressure-heart rate product, and ejection time.
    • It calculates myocardial function parameters like percent segment length shortening and velocity of shortening.
    • Coronary flow and systemic arterial pressure parameters are also derived, including mean, peak diastolic, and systolic velocities.

    Conclusions:

    • The developed computer program offers a robust and versatile solution for cardiovascular data analysis.
    • It supports a wide range of cardiovascular parameters and derived metrics, enhancing research capabilities.
    • The program is applicable beyond the chronically instrumented animal model, demonstrating broad utility.