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[A Novel and Fast P Wave Detection Algorithm in ECG Signals].

Jilun Ye, Jiquang Sun, Yuesheng Wu

    Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
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    This study introduces a fast, automated algorithm for P wave detection in electrocardiogram (ECG) signals. The method accurately identifies P wave onset and offset, showing strong consistency with established annotations.

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    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Accurate P wave detection is crucial for diagnosing cardiac arrhythmias.
    • Existing automated methods can be complex or lack precision.

    Purpose of the Study:

    • To develop a simple, fast, and accurate automated algorithm for P wave detection in multi-lead ECG signals.
    • To validate the algorithm's performance against a standard annotated database.

    Main Methods:

    • Automated detection of the QRS-T complex range.
    • Elimination of the QRS-T complex.
    • P wave onset and offset detection using a combination of the average of low-pass difference and tangent methods.

    Main Results:

    • The algorithm demonstrated good consistency with the BIS CSE database annotations.
    • Mean and standard deviation differences for P wave onset were -2.01 ms and 3.94 ms, respectively.
    • Mean and standard deviation differences for P wave offset were 4.96 ms and 5.86 ms, respectively.

    Conclusions:

    • The proposed algorithm offers a simple and efficient approach for automated P wave detection.
    • The method achieves high accuracy comparable to expert annotations.
    • This algorithm has potential for use in clinical ECG analysis and research.