Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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P Wave Detection based on QRST Cancellation Zero-One Substitution

  • Cho, Ik-Sung (School of Interdisciplinary Studies, Daegu University)
  • Received : 2021.01.20
  • Accepted : 2021.04.06
  • Published : 2021.06.30
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Abstract

Cardiac arrhythmias are common heart diseases and generally cause sudden cardiac death. Electrocardiogram (ECG) is an effective tool that can reveal the electrical activity of the heart and diagnose cardiac arrhythmias. We propose detection of P waves based on QRST cancellation zero-one substitution. After preprocessing, the QRST segment is determined by detecting the Q wave start point and T wave end point separately. The Q wave start point is detected by digital analyses of the QRS complex width, and the T wave end point is detected by computation of an indicator related to the area covered by the T wave curve. Then, we determine whether the sampled value of the signal is in the interval of the QRST segment and substitute zero or one for the value to cancel the QRST segment. Finally, the maximum amplitude is selected as the peak of the P wave in each RR interval of the residual signal. The average detection rate for the QT database was 97.67%.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1G1A1100771).

References

  1. H. M. Tun, W. K. Moe, and Z. M. Naing, "Analysis on conversion process from paper record ECG to computer based ECG," MedCrave Online Journal of Applied Bionics and Biomechanics, vol. 1, no. 2, pp. 69-81, 2017. DOI: 10.15406/mojabb.2017.01.00011.
  2. A. Hossain, R. Quaresma, and H. Rahman, "Investigating factors influencing the physicians' adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, vol. 44, pp. 76-87, 2019. DOI: 10.1016/j.ijinfomgt.2018.09.016.
  3. Q. Qin, J. Li, Y. Yue, and C. Liu, "An adaptive and time-efficient ECG R-Peak detection algorithm," Journal of Healthcare Engineering, vol. 2017, pp. 1-14, 2017. DOI: 10.1155/2017/5980541.
  4. M. J. Goldman, Principles of Clinical Electrocardiography, Los Altos, CA: Lange Medical Pubns, 1986.
  5. J. H. Kim, "Discrete wavelet transform-based feature extraction of experimental voltage signal for Li-ion cell consistency," IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1150-1161, 2016. DOI: 10.1109/TVT.2015.2414936.
  6. G. Moody and R. Mark. MIT-BIH Arrhythmia Database [Internet], Available: http://www.physionet.org/physiobank/database/mitdb/.
  7. L. Marsanova, A. Nemcova, R. Smisek, T. Goldmann, M. Vitek, and L. Smital, "Automatic detection of P wave in ECG during ventricular extrasystoles," World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol. 68, no. 2, pp. 381-385, 2018. DOI: 10.1007/978-981-10-9038-7_72.
  8. P. Laguna, R. G. Mark, A. Goldberg, and G. B. Moody, "A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG," Computers in Cardiology, vol. 24, pp. 673-676, 1997. DOI: 10.1109/CIC.1997.648140.
  9. L. Marsanova and A. Nemcova, (2019). "Advanced P wave detection in ECG Signals during pathology: Evaluation in different arrhythmia contexts," Scientific Reports, 19053. [Internet], Available: https://www.nature.com/articles/s41598-019-55323-3.
  10. D. Panigrahy and P. K. Sahu, "P and T wave detection and delineation of ECG signal using differential evolution (DE) optimization strategy," Australasian Physical & Engineering Sciences in Medicine, vol. 41, no. 1, pp. 225-241, 2018. DOI: 10.1007/s13246-018-0629-8.
  11. G. Chen, M. Chen, J. Zhang, L. Zhang, and C. Pang, "A crucial wave detection and delineation method for twelve-lead ECG signals," IEEE Access, vol. 8, pp. 10707-10717, 2020. DOI: 10.1109/ACCESS.2020.2965334.
  12. W. Li, L. Qiu, J. Zhang, W. Zhu, and L. Wang, "An automatic detection algorithm for T wave position based on T wave morphology," 2019 4th International Conference on Biomedical Signal and Image Processing (ICBIP 2019), pp. 30-35, 2019. DOI: 10.1145/3354031.3354052.
  13. E. J. Luz, W. R. Schwartz, G. G. Chavez, and D. Menotti, "ECG-based heartbeat classification for arrhythmia detection: A survey," Journal of Computer Methods and Programs in Biomedicine, vol. 127, pp. 144-164, 2016. DOI: 10.1016/j.cmpb.2015.12.008.
  14. M. Marouf and L. Saranovac, "Adaptive EMG noise reduction in ECG signals using noise level approximation," 2017 International Conference on Robotics and Machine Vision, pp. 106-130, 2017. DOI: 10.1117/12.2299841
  15. X. An and G. K. Stylios, "Comparison of motion artefact reduction methods and the implementation of adaptive motion artefact reduction in wearable electrocardiogram monitoring," Journal of Sensors, vol. 20, no. 5, pp. 1-21, 2020. DOI: 10.3390/s20051468.
  16. Z. D. Zhao and Y. Q. Chen, "A new method for removal of baseline wander and powerline interference in ECG signals," International Conference on Machine Learning and Cybernetics, pp. 4342-4347, 2006. DOI: 10.1109/ICMLC.2006.259082.
  17. J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm," IEEE Transactions on Biomedical Engineering, vol. BME-32, no. 3, pp. 230-236, 1985. DOI: 10.1109/TBME.1985.325532.
  18. S. Singh, U. Bhatt, D. Bisharad, D. Dey, and B. Bhowmik, "Portable system for real time detection of P, QRS and T waves from ECG signals," 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 2019. DOI: 10.1109/I2CT45611.2019.9033666.
  19. MIT-BIH ST Change Database [Internet], Available: https://archive.physionet.org/physiobank/database/stdb/.
  20. MIT-BIH Supraventricular Arrhythmia Database [Internet], Available: http://physionet.org/physiobank/database/svdb/.
  21. MIT-BIH Normal Sinus Rhythm Database [Internet], Available: http://www.physionet.org/physiobank/database/nsrdb/.