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Myographic Interference Filtering from ECG Signals Using Multiresolution Wavelet Transform

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Biomedical Engineering Aims and scope

Use of the multiresolution wavelet transform for the processing of ECG signals corrupted by myographic interference is considered. The influence of wavelet transform parameters on the ECG distortion level after processing is studied. The optimal parameters of the multiresolution wavelet transform are determined using criteria for minimizing distortions of processed ECG signals as compared to a model ECG signal free from interference.

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References

  1. Rangayyan, R. M., Biomedical Signal Analysis: A Case-Study Approach, Wiley-IEEE Press (2002).

  2. Kalakutiskii, L. I. And Manelis, E. S., Equipment and Methods for Clinical Monitoring [in Russian], Vysshaya Shkola, Moscow (2004).

  3. Fedotov, A. A. and Akulov, S. A., Measuring Transducers of Biomedical Signals for Clinical Monitoring Systems [in Russian], Radio i Svyaz’, Moscow (2013).

  4. Singh, B. N. and Tiwari, A. K., “Optimal selection of wavelet basis function applied to ECG signal denoising,” Digital Signal Processing, 16, 275-287 (2006).

    Article  Google Scholar 

  5. Strang, G. and Nguyen, T., Wavelets and Filters Banks, Wellesley-Cambridge-Press, Cambridge (1996).

    MATH  Google Scholar 

  6. Fedotov, A. A., “Selection of parameters for filtering distal arterial pulse signal using multi-resolution wavelet transforms,” Biomed. Eng., 47, No. 3, 146-149 (2013).

    Article  Google Scholar 

  7. McSharry, P. E., “A dynamical model for generating synthetic electro-cardiogram signals,” IEEE Trans. Biomed. Eng., 50, 289-295 (2003).

    Article  Google Scholar 

  8. Donoho, D. L., “De-noising by soft-thresholding,” IEEE Trans. Inf. Theory, 41, 613-627 (1995).

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Samara National Research University named after Academician S. P. Korolev, Samara, Russia

    A. A. Fedotov

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  1. A. A. Fedotov
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Correspondence to A. A. Fedotov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 52, No. 5, Sep.-Oct., 2018, pp. 37-40.

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Fedotov, A.A. Myographic Interference Filtering from ECG Signals Using Multiresolution Wavelet Transform. Biomed Eng 52, 344–347 (2019). https://doi.org/10.1007/s10527-019-09844-w

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  • DOI: https://doi.org/10.1007/s10527-019-09844-w

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