39-49

A COMPARISON OF 5 ALGORITHMS FOR R PEAKS DETECTION
IN AN ECG SIGNAL

M. S. Dahwah, A. N. Leukhin
Mari State University,
1, Lenin Square, Yoshkar-Ola, 424000, Russian Federation
E-mail: eng_dahwah@yahoo.com; Leukhinan@list.ru

АННОТАЦИЯ

Introduction. An electrocardiogram (ECG) is one of the most common biological signals, which plays a significant role in the diagnosis of heart diseases. Among all the waves, a QRS complex is the most significant wave of an ECG signal in which an R wave is one of the most important sections of this complex that has an essential role in the diagnosis of heart diseases. Various methods of digital signal processing are applied for detecting different ECG components. Among all algorithms of the ECG analysis and processing, the Pan & Tompkins algorithm, a Savitzky-Golay smoothing filter, Hilbert and wavelet transforms have been considered. One of the most relevant tasks in the automatic ECG analysis is the detection of each wave, particularly the QRS complex. Therefore, the purpose of this paper is to make a comparison of currently existing methods of ECG pattern recognition. The following problems are considered in this paper: 1) the theoretical analysis of electrocardiogram processing and peaks detection; 2) the comparative analysis of the efficiency of selected algorithms, providing the best sensitivity and precision in R peaks detection: the Pan & Tompkins algorithm, the Savitzky-Golay smoothing filter, Hilbert and wavelet transforms as well as a fast Fourier transform method. ECG signals from the MIT-BIH database are used for computer simulation and the comparative analysis of algorithms. The introduction is presented in section 1. The review of five methods is given in section 2. Results of the comparative analysis are presented in section 3. In each peaks detection algorithm there are two main stages: preprocessing and decision. Results. The conducted experiments showed that all five algorithms allow solving the problem of detecting R peaks of ECG signals when selecting the adaptive threshold value of the detector with a very high degree of confidence. It was shown that the Pan & Tompkins algorithm and the algorithm, based on the wavelet transform have the best characteristics of R peaks detection in comparison with other algorithms.

КЛЮЧЕВЫЕ СЛОВА

electrocardiogram; Hilbert transform; R peak; wavelet transform; fast Fourier transform; Pan & Tompkins; Savitzky-Golay filter.

ПОЛНЫЙ ТЕКСТ (pdf)

ФИНАНСИРОВАНИЕ

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For citation: Dahwah M. S., Leukhin A. N. A Comparison of 5 Algorithms for R Peaks Detection in an ECG Signal. Vestnik of Volga State University of Technology. Ser.: Radio Engineering and Infocommunication Systems. 2018. No 3 (39). Pp. 39-49. DOI: 10.15350/2306-2819.2018.3.39