R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD

Thanh-Nghia NGUYEN

nghiant@hcmute.edu.vn
Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh (Viet Nam)

Thanh-Hai NGUYEN


Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, (Viet Nam)

Ba-Viet NGO


Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh (Viet Nam)

Abstract

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.


Keywords:

ECG signal, Wavelet transforms, WDFR algorithm, R peak determination, Adaptive threshold

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Published
2022-09-30

Cited by

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

Authors

Thanh-Nghia NGUYEN 
nghiant@hcmute.edu.vn
Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh Viet Nam

Authors

Thanh-Hai NGUYEN 

Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Viet Nam

Authors

Ba-Viet NGO 

Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh Viet Nam

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