R-PEAKS DETECTION USING WAVELET TECHNOLOGY

Authors

  • V. I. Dubrovin Zaporozhye national technical university, Ukraine, Ukraine
  • J. V. Tverdohleb Zaporozhye national technical university, Ukraine, Ukraine
  • V. V. Kharchenko Zaporozhye national technical university, Ukraine, Ukraine

DOI:

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

Keywords:

ECG, wavelet transformation, R-peaks detection

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.

References

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: 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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Published

2013-09-16

How to Cite

Dubrovin, V. I., Tverdohleb, J. V., & Kharchenko, V. V. (2013). R-PEAKS DETECTION USING WAVELET TECHNOLOGY. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2013-2-20

Issue

No. 2 (2013): Radio Electronics, Computer Science, Control

Section

Progressive information technologies

License

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

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