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R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD

Thanh-Nghia NGUYEN, Thanh-Hai NGUYEN, Ba-Viet NGO
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The determination of the R peak position in the ECG signal helps physicians not only to know the heart rate per minute, but also to monitor the patient’s health related to heart disease. This paper proposes a system to accurately determine the R peak position in the ECG signal. The system consists of a pre-processing block for filtering out noise using a WDFR algorithm and highlighting the amplitude of the R peak and a threshold value is calculated for determining the R peak. In this research, the MIT-BIH ECG dataset with 48 records are used for evaluation of the system. The results of the SEN, +P, DER and ACC parameters related to the system quality are 99.70%, 99.59%, 0.70% and 99.31%, respectively. The obtained performance of the proposed R peak position determination system is very high and can be applied to determine the R peak of the ECG signal measuring devices in practice.

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  • APA 7th style
Nguyen, T.-N., Nguyen, T.-H., & Ngo, B.-V. (2022). R peak determination using a WDFR algorithm and adaptive threshold. Applied Computer Science, 18(3), 19-30. https://doi.org/10.35784/acs-2022-18
  • Chicago style
Nguyen, Thanh-Nghia, Thanh-Hai Nguyen, and Ba-Viet Ngo. "R Peak Determination Using a Wdfr Algorithm and Adaptive Threshold." Applied Computer Science 18, no. 3 (2022): 19-30.
  • IEEE style
T.-N. Nguyen, T.-H. Nguyen, and B.-V. Ngo, "R peak determination using a WDFR algorithm and adaptive threshold," Applied Computer Science, vol. 18, no. 3, pp. 19-30, 2022, doi: 10.35784/acs-2022-18.
  • Vancouver style
Nguyen T-N, Nguyen T-H, Ngo B-V. R peak determination using a WDFR algorithm and adaptive threshold. Applied Computer Science. 2022;18(3):19-30.

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