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A computer analysis of cardiac electrograms

T J Doubt, J L Heckman

    Computer Programs in Biomedicine
    |June 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

    This study developed computer programs for analyzing dog heart electrograms, enabling precise temporal analysis of cardiac cycles. The system efficiently processed over 10,000 cardiac cycles, demonstrating its reliability for physiological data.

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    Area of Science:

    • Cardiovascular Physiology
    • Computational Biology
    • Biomedical Engineering

    Background:

    • Electrogram analysis is crucial for understanding cardiac function.
    • Manual analysis of electrograms is time-consuming and prone to error.
    • Automated computational methods can improve the efficiency and accuracy of electrogram analysis.

    Purpose of the Study:

    • To develop and validate computer programs for the temporal analysis of electrograms from isolated dog hearts.
    • To assess the reliability and accuracy of the developed computational system.
    • To demonstrate the system's versatility for analyzing large physiological datasets.

    Main Methods:

    • Utilized Fortran II and IV programming languages for data acquisition and analysis.
    • Employed an x-y digitizing table to input electrogram coordinates.

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  • Calculated temporal intervals between electrode pairs, heart rate, and cardiac cycle length.
  • Stored digitized data on magnetic disks for subsequent statistical operations.

    • Main Results:

    • The computer system accurately and reliably processed over 10,000 cardiac cycles.
    • Temporal intervals between 28 electrode pair combinations were calculated.
    • Heart rate and cardiac cycle length were computed.
    • Data could be grouped by experiment, record, and event numbers.

    Conclusions:

    • Developed computer programs provide accurate and reliable temporal analysis of cardiac electrograms.
    • The system is versatile and applicable to large datasets beyond electrograms, such as electrocardiograms.
    • Automated analysis significantly enhances the efficiency of physiological data processing.