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Analysis of the Parameters of Frequency Filtering of an Electrocardiograph Signal

  • MEDICAL AND BIOLOGICAL MEASUREMENTS
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Measurement Techniques Aims and scope

The features of the processing of an electrocardiograph signal using band-pass frequency filtering on a background of distorting interference and noise of different kinds are analyzed. An approach to choosing the optimum passband and type of bandpass filter is proposed, based on the criterion of maximizing the signal-to-noise ratio at the filter output and minimizing the signal distortions, taking into account the variability of the heart rhythm. Two versions of such a bandpass filter are considered, namely, an analog active 2nd order filter and a digital 8th order filter.

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References

  1. R. M. Rangaiyan, Analysis of Biomedical Signals. A Practical Approach, Fizmatlit, Moscow (2007).

    Google Scholar 

  2. L. I. Kalakutskii and E. S. Manelis, Apparatus and Methods of Clinical Monitoring, Vysshaya Shkola, Moscow (2004).

    Google Scholar 

  3. A. A. Fedotov and S. A. Akulov, Measurement Converters of Biomedical Signals of Clinical Monitoring Systems, Radio i Svyaz, Moscow (2013).

    Google Scholar 

  4. A. A. Fedotov and S. A. Akulov, Mathematical Modeling and Analysis of the Errors of Measuring Converters of Biomedical Signals, Fizmatlit, Moscow (2013).

    Google Scholar 

  5. F. J. Theis and A. Meyer-Base, Biomedical Signal Analysis: Contemporary Methods and Applications, MIT Press, Cambridge, MA (2010).

    Google Scholar 

  6. P. E. McSharry et al., “A dynamical model for generating synthetic electrocardiogram signals,” IEEE Trans. Biomed. Eng., 50, No. 3, 289–295 (2003).

    Article  MathSciNet  Google Scholar 

  7. R. Dev, “Different techniques to remove baseline wander from ECG signal: A review,” Int. J. Electr., Electron. Communic. Eng., 2, No. 7, 532–537 (2012).

    Google Scholar 

  8. G. M. Friesen et al., “A comparison of the noise sensitivity of nine QRS detection algorithms,” IEEE Trans. Biomed. Eng., 27, No. 1, 85–98 (1990).

    Article  Google Scholar 

  9. A. Ruha et al., “A real-time microprocessor QRS detector system with a 1-ms timing accuracy for the measurement of ambulatory HRV,” IEEE Trans. Biomed. Eng., 44, No. 3, 159–167 (1997).

    Article  Google Scholar 

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Authors and Affiliations

  1. Samara State Aerospace University, Samara, Russia

    A. A. Fedotov, A. S. Akulova & S. A. Akulov

Authors
  1. A. A. Fedotov
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  2. A. S. Akulova
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  3. S. A. Akulov
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Corresponding author

Correspondence to A. A. Fedotov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 11, pp. 65–68, November, 2014.

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Fedotov, A.A., Akulova, A.S. & Akulov, S.A. Analysis of the Parameters of Frequency Filtering of an Electrocardiograph Signal. Meas Tech 57, 1320–1325 (2015). https://doi.org/10.1007/s11018-015-0628-z

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  • DOI: https://doi.org/10.1007/s11018-015-0628-z

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