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Cardiac electrophysiological studies: computer analysis using a digitiser and interactive visual display unit.

T Cochrane, A W Dunlop, A W Nathan

    Clinical Physics and Physiological Measurement : an Official Journal of the Hospital Physicists' Association, Deutsche Gesellschaft Fur Medizinische Physik and the European Federation of Organisations for Medical Physics
    |August 1, 1983
    PubMed
    Summary
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    This study introduces a semi-automatic computer system for analyzing intracardiac electrophysiological measurements. The system simplifies the assessment of cardiac conduction diseases by efficiently processing electrical potential data.

    Area of Science:

    • Cardiology
    • Medical Engineering
    • Computational Biology

    Background:

    • Intracardiac electrical potential recordings offer crucial insights into cardiac conduction diseases.
    • Analysis of these recordings typically requires meticulous measurement of numerous timing intervals to map the cardiac conduction system's activation sequence.

    Purpose of the Study:

    • To present a novel semi-automatic, computer-based analysis system for intracardiac electrophysiological measurements.
    • To enhance the efficiency and accuracy of analyzing cardiac conduction.
    • To provide a user-friendly, robust, and flexible system for researchers.

    Main Methods:

    • Development of a semi-automatic computer-based system for analyzing intracardiac electrophysiological data.
    • Utilized a digitizing tablet and a visual display-oriented data handling package for direct data input into computer memory.

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  • Employed the FORTRAN programming language for software development, ensuring modularity and adaptability.
  • Main Results:

    • The system facilitates the measurement of timing intervals to determine the sequence of activation within the cardiac conduction system.
    • Data is efficiently sorted and analyzed after direct input into computer memory.
    • The system is designed for ease of learning, robustness, and flexibility.

    Conclusions:

    • The described system offers a valuable tool for the semi-automatic analysis of intracardiac electrophysiological recordings.
    • It simplifies the assessment of cardiac conduction diseases by streamlining data processing.
    • The modular design and FORTRAN implementation allow for easy adaptation to evolving research requirements.