R peak determination using a WDFR algorithm and Adaptive threshold

• Autorzy: Nguyen Thanh-Nghia , Nguyen Thanh-Hai , Ngo Ba-Viet

Identyfikatory

DOI

10.35784/acs-2022-18

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

ECG signal; wavelet transforms; WDFR algorithm; R peak determination; adaptive threshold

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2022
• Tom: Vol. 18, no 3
• Strony: 19--30
• Opis fizyczny: Bibliogr. 33 poz., fig., tab.

Twórcy

autor

Nguyen Thanh-Nghia

• Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam

• https://orcid.org/0000-0001-7366-2257

autor

Nguyen Thanh-Hai

• Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam

• https://orcid.org/0000-0003-3270-6975

autor

Ngo Ba-Viet

• Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam

• https://orcid.org/0000-0002-8379-957X

Bibliografia

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