R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD
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 o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2022-09-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://www.acs.pollub.pl/pdf/v18n3/2.pdf |
| _version_ | 1797989892793303040 |
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| author | Thanh-Nghia NGUYEN Thanh-Hai NGUYEN Ba-Viet NGO |
| author_facet | Thanh-Nghia NGUYEN Thanh-Hai NGUYEN Ba-Viet NGO |
| author_sort | Thanh-Nghia NGUYEN |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T08:27:57Z |
| format | Article |
| id | doaj.art-5f33670d1f0447cea2458e4181e913ca |
| institution | Directory Open Access Journal |
| issn | 1895-3735 2353-6977 |
| language | English |
| last_indexed | 2024-04-11T08:27:57Z |
| publishDate | 2022-09-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj.art-5f33670d1f0447cea2458e4181e913ca2022-12-22T04:34:39ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772022-09-01183193010.35784/acs-2022-18R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLDThanh-Nghia NGUYEN 0https://orcid.org/0000-0001-7366-2257Thanh-Hai NGUYEN 1https://orcid.org/0000-0003-3270-6975Ba-Viet NGO 2https://orcid.org/0000-0002-8379-957XDepartment of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam, nghiant@hcmute.edu.vnDepartment of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam, Department of Industrial Electronics and Biomedical Engineering, HCMC University of Technology and Education, Ho Chi Minh, Vietnam, vietnb@hcmute.edu.vnThe 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.http://www.acs.pollub.pl/pdf/v18n3/2.pdfecg signalwavelet transformswdfr algorithmr peak determinationadaptive threshold |
| spellingShingle | Thanh-Nghia NGUYEN Thanh-Hai NGUYEN Ba-Viet NGO R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD Applied Computer Science ecg signal wavelet transforms wdfr algorithm r peak determination adaptive threshold |
| title | R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD |
| title_full | R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD |
| title_fullStr | R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD |
| title_full_unstemmed | R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD |
| title_short | R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD |
| title_sort | r peak determination using a wdfr algorithm and adaptive threshold |
| topic | ecg signal wavelet transforms wdfr algorithm r peak determination adaptive threshold |
| url | http://www.acs.pollub.pl/pdf/v18n3/2.pdf |
| work_keys_str_mv | AT thanhnghianguyen rpeakdeterminationusingawdfralgorithmandadaptivethreshold AT thanhhainguyen rpeakdeterminationusingawdfralgorithmandadaptivethreshold AT bavietngo rpeakdeterminationusingawdfralgorithmandadaptivethreshold |