V. I. Dubrovin, J. V. Tverdohleb, V. V. Kharchenko


The given work presents the methodology of R-peaks detection in an electrocardiogram signal based on Discrete Wavelet Transformation. The optimal level decomposition of the detail coefficients can be determined by energy, frequency and cross-correlation analyses. The effectiveness of the proposed algorithm has been tested by using records obtained from the MIT/BIH Physionet arrhythmia database.


ECG, wavelet transformation, R-peaks detection


Khan M. G. By’str y’j analiz E’KG. Moscow, Binom, 1999, 286 p.

Hampton J. R. 150 ECG Problems. United Kingdom, Elsevier Science Health Science Division, 2008, 320 p.

Zajchenko K. V., Zharinov O. O., Kulin A. N. S’’yom i obrabotka bioe’lectricheskix signalov. Saint Petersburg, RIO GUAP, 2001, 140 p.

Awadhesh Pachauri, Manabendra Bhuyan. Robust detection of R-wave using wavelet technique, World Academy of Science, Engineering and Technology, 2009, No. 56, pp. 56–60.

MIT-BIH Arrhythmia Database [electronic resource]. – Access mode:

(ANSI/AMI EC57): Testing and reporting performance results of cardiac hythm nd ST segment measurement algorithms, 1998. (AAMI Recommended Practice / American National Standard).

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