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A programme for computer-aided recognition of electrocardiographic patterns.

L Onulescu

    Medecine Interne
    |April 1, 1978
    PubMed
    Summary
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    This study presents a computer program for automatic diagnosis of electrocardiograms (ECGs) using pattern recognition. The system analyzes 12-lead ECGs to provide diagnoses according to the Minnesota Code.

    Area of Science:

    • * Computer Science
    • * Medical Informatics
    • * Cardiology

    Background:

    • * Digital conversion of electrocardiograms (ECGs) enables automated analysis.
    • * Accurate interpretation of ECGs is crucial for diagnosing cardiac conditions.

    Purpose of the Study:

    • * To develop and describe a computer program for automated ECG analysis.
    • * To implement pattern recognition for diagnosing cardiac conditions from ECG data.

    Main Methods:

    • * Utilized pattern recognition algorithms on 12 classical ECG leads.
    • * Developed the program using FORTRAN programming language.
    • * Tested the system on a FELIX C 256 computer.

    Main Results:

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  • * The program successfully performed pattern recognition on digital ECGs.
  • * Automated diagnosis was achieved using the Minnesota Code (1968 variant).

    • Conclusions:

    • * A functional computer program for automated ECG diagnosis has been developed.
    • * The system demonstrates the feasibility of using pattern recognition for cardiac diagnostics.