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A frequency-time domain signal processing system

P V Moulder, W Rank, G R Daicoff

    Medical Instrumentation
    |March 1, 1980
    PubMed
    Summary
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    This study introduces a digital signal processing system for time series analysis, offering both exploratory and automated graphic output methods. The system enhances large-volume graphic analysis capabilities for various physiological applications.

    Area of Science:

    • Biomedical Engineering
    • Digital Signal Processing
    • Time Series Analysis

    Background:

    • Time series analysis is crucial in understanding complex physiological signals.
    • Existing methods may lack efficiency or comprehensive graphic output capabilities.
    • Digital signal processing offers advanced tools for physiological data interpretation.

    Purpose of the Study:

    • To describe a novel digital signal processing system for time series analysis.
    • To present a system with dual modes: exploratory and automated graphic output.
    • To highlight the system's application in physiological research and education.

    Main Methods:

    • Utilized a Time Data 1923C system with an integrated PDP-11 minicomputer and console.
    • Developed a digital signal processing system with two distinct operational modes.

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  • Focused on error containment and enhancing large-volume graphic analysis.

    • Main Results:

    • Successfully contained major error problems within the system.
    • Developed a robust large-volume graphic analysis capability.
    • Demonstrated system utility in analyzing transpulmonary pressure-pulse relationships and pulmonary vein/left atrial pressure phenomena.

    Conclusions:

    • The described digital signal processing system provides an effective tool for time series analysis in physiological contexts.
    • The system's dual modes cater to both rapid exploration and detailed, automated reporting.
    • Applications extend to understanding cardiovascular dynamics, left ventricular function, and for educational purposes in digital signal processing techniques.