Skip to main content

Eliminación de ruido en bioseñales utilizando la ecuación algebraica de Lyapunov

  • Conference paper

Part of the IFMBE Proceedings book series (IFMBE,volume 18)

Abstract

We propose in this paper a method for the elimination of noise in biosignals, based on Lyapunov’s algebraic equation of stability for linear systems. The biosignals used were extracted from the MIT-BIH cardiac Arrhythmia Database. We corrupted these electro-cardiographic signals by adding randomly generated gaussian noise signals of different amplitudes. The method herein presented cancels noise within reasonable effectiveness and represents an alternative to other source separation algorithms.

Palabras claves

  • ECG
  • eliminación
  • estabilidad
  • Lyapunov
  • ruido

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-74471-9_19
  • Chapter length: 4 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   469.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-74471-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   599.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Referencias

  1. P. Comon, “Independent component analysis, A new concept?,” Signal Processing, Vol. 36, pp. 287–314, 1994.

    MATH  CrossRef  Google Scholar 

  2. Matlab, Toolbox User’s Guide. Natick: Massachusetts: The Math-Works Inc., 2006.

    Google Scholar 

  3. G. B. Moody and R. G. Mark, “The Impact of the MIT-BIH Arrhythmia Database,” IEEE Engineering in Medicine & Biology Magazine, Vol. 20, No. 3, pp.45–50, May/June 2001.

    CrossRef  Google Scholar 

  4. G. B. Moody, R. G. Mark and A. L. Goldberger, “PhysioNet: A Web-Based Resource for the Study of Physiologic Signals,” IEEE Engineering in Medicine & Biology Magazine, Vol. 20, No. 3, pp.70–75, May/June 2001.

    CrossRef  Google Scholar 

  5. A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis. New York, NY: John Wiley & Sons, 2001, pp. 1–12.

    CrossRef  Google Scholar 

  6. E. Vincent, R. Gribonval and C. Févotte, “Performance Measurement in Blind Audio Source Separation,” IEEE Transactions on Audio, Speech and Language Processing, Vol. 14, No. 4, pp. 1462–1469, July 2006.

    CrossRef  Google Scholar 

  7. C. Févotte, R. Gribonval and E. Vincent, “BSS_EVAL Toolbox User Guide — Revision 2.0,” French GdR-ISIS/CNRS, Paris, France, Internal Report 1706, pp. 1–19, 2005.

    Google Scholar 

  8. H. Gävert, J. Hurri, J. Särelä and A. Hyvärinen, FastICA for Matlab, version 2.5. Natick: Massachusetts: The MathWorks Inc., 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pisarello, M.I., Picaza, C.Á., Monzón, J.E. (2007). Eliminación de ruido en bioseñales utilizando la ecuación algebraica de Lyapunov. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74471-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74470-2

  • Online ISBN: 978-3-540-74471-9

  • eBook Packages: EngineeringEngineering (R0)