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Cross-correlation technique for arrhythmia detection using PR and PP intervals.

O Govrin, D Sadeh, S Akselrod

    Computers and Biomedical Research, an International Journal
    |February 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a computerized cross-correlation method for detecting cardiac arrhythmias by analyzing P and QRS waves in electrocardiogram (ECG) signals. The technique reliably identifies various arrhythmias by comparing ECG waveforms to a normal beat template.

    Area of Science:

    • Biomedical Engineering
    • Cardiology
    • Signal Processing

    Background:

    • Accurate detection of cardiac arrhythmias is crucial for patient diagnosis and treatment.
    • Existing methods may have limitations in classifying a wide range of arrhythmias.
    • Electrocardiogram (ECG) signal analysis is a cornerstone of cardiovascular diagnostics.

    Purpose of the Study:

    • To present a novel combined, cross-correlation procedure for computerized arrhythmia detection.
    • To enable the classification of a wide range of cardiac arrhythmias.
    • To accurately determine key intervals (PR, PP, RR) from ECG waveforms.

    Main Methods:

    • External ECG leads were digitized (10-bit resolution, 1.28 kHz) and processed using a CDC 6600 computer.
    • A normal ECG beat served as a reference template for cross-correlation analysis.

    Related Experiment Videos

  • ECG waveforms were filtered (10-100 Hz bandpass) and processed using Fast Fourier Transform (FFT) and cross-spectrum analysis.

    • Main Results:

    • The cross-correlation procedure determined the similarity between successive ECG beats and the normal template.
    • Abnormal P and QRS wave shapes were discriminated based on correlation function maxima and time shifts.
    • Accurate measurements of RR, PP, and PR intervals were achieved for subsequent waveforms.

    Conclusions:

    • The combined cross-correlation method provides reliable detection and classification of a wide variety of cardiac arrhythmias.
    • This approach allows for precise interval measurements, aiding in the diagnosis of rhythm disturbances.
    • The technique effectively distinguishes abnormal beat morphologies from normal ECG signals.