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Weighted Averaging of ECG Signal Using Criterion Function Minimization

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Information Technologies in Biomedicine

Part of the book series: Advances in Soft Computing ((AINSC,volume 47))

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Summary

Averaging signals in time domain is one of the main methods of noise attenuation in biomedical signal processing. This paper proposes a new weighted averaging method using criterion function minimization and based on partitioning of input set in time domain, which is a generalization of an existing method. Performance of the new method is experimentally compared with the traditional averaging by using arithmetic mean and another weighted averaging method based on criterion function minimization.

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References

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  5. Momot, A., Momot, M., Łȩski, J.: Weighted Averaging of ECG Signals Based on Partition of Input Set in Time Domain. Journal of Medical Informatics and Technologies 11, 165–170 (2007)

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Silesian University of Technology, 16 Akademicka St., 44-100, Gliwice, Poland

    Alina Momot

Authors
  1. Alina Momot
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Editor information

Ewa Pietka Jacek Kawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Momot, A. (2008). Weighted Averaging of ECG Signal Using Criterion Function Minimization. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_30

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  • DOI: https://doi.org/10.1007/978-3-540-68168-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68167-0

  • Online ISBN: 978-3-540-68168-7

  • eBook Packages: EngineeringEngineering (R0)

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