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Computerized pacemaker patient analysis.

C B Byrd, B S Hallberg, C L Byrd

    Pacing and Clinical Electrophysiology : PACE
    |December 1, 1990
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces new computer hardware and software for analyzing pacemaker data. The system enhances pacemaker spike detection, improving the identification of cardiac events and aiding in the diagnosis of hardware failures.

    Area of Science:

    • Biomedical Engineering
    • Cardiology
    • Medical Informatics

    Background:

    • Pacemaker function monitoring is crucial for patient care.
    • Accurate interpretation of electrocardiograms (ECGs) with pacemaker artifacts can be challenging.
    • Existing methods may fail to detect subtle pacemaker hardware issues.

    Purpose of the Study:

    • To develop and validate a computer system for importing and analyzing patient data, including analog waveforms and pacemaker artifacts.
    • To enhance the identification of paced and intrinsic cardiac complexes.
    • To facilitate the detection of pacemaker hardware failures.

    Main Methods:

    • Development of computer hardware and software for data acquisition and database integration (PaceBase).
    • Utilizing a programmable analog-to-digital (A/D) converter to capture pacemaker artifacts from surface ECG leads.

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  • Implementing pacemaker spike detection algorithms to enhance artifact identification and reject noise.

    • Main Results:

    • The system successfully imports and analyzes analog waveforms and patient data.
    • Pacemaker artifact analysis confirms pulse width and programmability, aiding in hardware failure detection.
    • Enhanced spike detection accurately identifies even short bipolar atrial spikes (0.05 ms) and rejects myopotential noise.

    Conclusions:

    • The developed system improves the accuracy of ECG interpretation in patients with pacemakers.
    • It offers a reliable method for troubleshooting pacemaker function and identifying hardware malfunctions.
    • Continuous real-time ECG recording capability aids in capturing infrequent intrinsic events.