REAL-TIME R-PEAK DETECTION ALGORITHM FOR LOW SNR ECG SIGNAL
DOI:
https://doi.org/10.32782/IT/2021-2-1Keywords:
ECG, QRS-complex, algorithms, filtering.Abstract
The aim of the article is the research and development of an algorithm for finding R-teeth in real time for the ECG signal recorded from non-standard leads. The realization of this goal involves recording the ECG signal from the surface of the human head, signal filtering and development of an algorithm for detecting the QRS complex. Scientific novelty. The proposed algorithm can significantly improve the search for QRS complex from the ECG signal with a high noise level. The presented algorithm does not require significant computing power, so it can be used in body devices with low-power microcontrollers to improve the accuracy of heart rate measurements in everyday life. Conclusions. The obtained results and algorithm can be used for further development and research. All the obtained results are presented in graphical form with a detailed description in this paper.
References
World Health Organization, Cardiovascular diseases (CVDs). URL: https://www.who.int/news-room/factsheets/ detail/cardiovascular-diseases-(cvds).
Jiapu Pan and Willis J. Tompkins, A Real-Time QRS Detection Algorithm, IEEE Transactions On Biomedical Engineering, Vol. Bme-32, No. 3, March 1985. DOI: 10.1109/TBME.1985.325532
M. A. Z. Fariha, R. Ikeura 2, S. Hayakawa 2, S. Tsutsumi. Analysis of Pan-Tompkins Algorithm Performance with Noisy ECG Signals, 2020 J. Phys.: Conf. Ser. 1532 012022. DOI: 10.1088/1742-6596/1532/1/012022
Primož Lavricˇ, Matjaž Depolli, Robust beat detection on noisy differential ECG, 2016. DOI: 10.1109/ MIPRO.2016.7522172
Minseok Seo, Minho Choi, Jun Seong Lee and Sang Woo Kim, Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors, 2018. DOI: 10.3390/s18072086
Yande Xiang, Zhitao Lin and Jianyi Meng, Automatic QRS complex detection using two-level convolutional neural network, 2018. DOI: 10.1186/s12938–018–0441–4
Hooman Sedghamiz, Matlab Implementation of Pan Tompkins ECG QRS Detector, 2014. DOI: 0.13140/ RG.2.2.14202.59841
