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Arrhythmia diagnosis by the IBM electrocardiogram analysis program

H Miyahara, K Endou, A Domae

    Journal of Electrocardiology
    |January 1, 1980
    PubMed
    Summary

    The IBM ECG program accurately identifies sinus rhythm but struggles with complex arrhythmias. Further computer program improvements are needed for reliable detection of abnormal heart rhythms.

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    Area of Science:

    • Cardiology
    • Medical Informatics
    • Artificial Intelligence in Medicine

    Background:

    • Computerized electrocardiogram (ECG) analysis offers potential for efficient rhythm diagnosis.
    • Physician interpretation remains the gold standard for complex cardiac rhythm assessment.

    Purpose of the Study:

    • To compare the diagnostic accuracy of the IBM ECG program (Bonner-I) against physician interpretation for various heart rhythms.
    • To evaluate the computer's performance in identifying both normal and abnormal cardiac rhythms.

    Main Methods:

    • A comparative analysis of 2434 electrocardiograms (ECGs) was performed.
    • ECGs were analyzed by both a physician and the IBM ECG program (Bonner-I).
    • Discrepancies in rhythm diagnosis between the computer and physician were systematically recorded.

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    Main Results:

    • The computer correctly identified sinus rhythm in most cases but had a false positive rate of 1.46% (32/2185).
    • The program exhibited a false negative rate of 12.05% (30/249) for abnormal rhythms.
    • Accurate detection rates were noted for atrial fibrillation (62/64) and sinus rhythm with VPCs/SVPCs.
    • The computer failed to recognize artificial pacemaker rhythms and had an 'undetermined rhythm' output for 27 cases.

    Conclusions:

    • The IBM ECG program demonstrates utility in recognizing sinus rhythm.
    • Improvements are necessary for the computer program's ability to accurately detect and classify complex cardiac rhythm disturbances.
    • Incorporating QRS complex duration analysis could enhance the classification of pacemaker rhythms.