R-PEAKS DETECTION USING WAVELET TECHNOLOGY

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

Abstract


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.

Keywords


ECG, wavelet transformation, R-peaks detection

References


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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: http://www.physionet.org/physiobank/database/mitdb.

(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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DOI: https://doi.org/10.15588/1607-3274-2013-2-20



Copyright (c) 2014 V. I. Dubrovin, J. V. Tverdohleb, V. V. Kharchenko

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