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Microprocessor detection of electrocardiogram R-waves.

J D Coleman, M P Bolton

    Journal of Medical Engineering & Technology
    |September 1, 1979
    PubMed
    Summary
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    A new algorithm reliably detects R-waves in electrocardiogram (ECG) signals for coronary care units. This simple microprocessor-based system achieves high accuracy, with typical errors around 1% for R-wave detection.

    Area of Science:

    • Biomedical Engineering
    • Medical Device Technology
    • Signal Processing

    Background:

    • Reliable R-wave detection is crucial for electrocardiogram (ECG) analysis in coronary care units.
    • Existing R-wave detection methods may struggle with signal variability and artifacts.

    Purpose of the Study:

    • To develop a simple and reliable R-wave detection algorithm for ECG signals.
    • To implement the algorithm on a microprocessor for use in coronary care units.

    Main Methods:

    • A microprocessor (Motorola MC6800) was used to implement a novel R-wave detection algorithm.
    • Detection criteria were based on the gradient and duration of the ECG signal's upslope or downslope.
    • System constants were optimized through preliminary trials to reject noise and artifacts.

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    Main Results:

    • The developed algorithm demonstrated robust R-wave detection using a constant threshold system.
    • This system effectively handled sudden changes in QRS complex amplitude.
    • Assessment runs on patient tapes showed a typical error rate of approximately 1% for false positives and negatives.

    Conclusions:

    • The simple, microprocessor-based R-wave detector is a reliable tool for ECG analysis in coronary care.
    • The constant threshold system outperforms some self-adjusting systems in handling amplitude variations.
    • The algorithm's low error rate supports its clinical utility in critical care settings.