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Electrocardiogram Fiducial Point Detector Using a Bilateral Filter and Symmetrical Point-Filter Structure

Author

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  • Tae-Wuk Bae

    (Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, Korea)

  • Kee-Koo Kwon

    (Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, Korea)

  • Kyu-Hyung Kim

    (Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu 42994, Korea)

Abstract

The characteristics or aspects of important fiducial points (FPs) in the electrocardiogram (ECG) signal are complicated because of various factors, such as non-stationary effects and low signal-to-noise ratio. Due to the various noises caused by the ECG signal measurement environment and by typical ECG signal deformation due to heart diseases, detecting such FPs becomes a challenging task. In this study, we introduce a novel PQRST complex detector using a one-dimensional bilateral filter (1DBF) and the temporal characteristics of FPs. The 1DBF with noise suppression and edge preservation preserves the P- or T-wave whereas it suppresses the QRS-interval. The 1DBF acts as a background predictor for predicting the background corresponding to the P- and T-waves and the remaining flat interval excluding the QRS-interval. The R-peak and QRS-interval are founded by the difference of the original ECG signal and the predicted background signal. Then, the Q- and S-points and the FPs related to the P- and T-wave are sequentially detected using the determined searching range and detection order based on the detected R-peak. The detection performance of the proposed method is analyzed through the MIT-BIH database (MIT-DB) and the QT database (QT-DB).

Suggested Citation

  • Tae-Wuk Bae & Kee-Koo Kwon & Kyu-Hyung Kim, 2021. "Electrocardiogram Fiducial Point Detector Using a Bilateral Filter and Symmetrical Point-Filter Structure," IJERPH, MDPI, vol. 18(20), pages 1-28, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10792-:d:656378
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    References listed on IDEAS

    as
    1. Jinkwon Kim & Hangsik Shin, 2016. "Simple and Robust Realtime QRS Detection Algorithm Based on Spatiotemporal Characteristic of the QRS Complex," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-13, March.
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    Cited by:

    1. Tae Wuk Bae & Min Seong Kim & Jong Won Park & Kee Koo Kwon & Kyu Hyung Kim, 2022. "Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation," IJERPH, MDPI, vol. 19(16), pages 1-22, August.

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