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ISCS 2013: Interdisciplinary Symposium on Complex Systems pp 203–213Cite as

Extracting the QRS Complexity and R Beats in Electrocardiogram Signals Using the Hilbert Transform

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Part of the Emergence, Complexity and Computation book series (ECC,volume 8)

Abstract

This paper presents a novel approach for the problem of detecting and extracting the QRS complex of electrocardiogram signals for different kinds of arrhythmias. First, an autocorrelation function is used in order to obtain the period of an electrocardiagram signal and then the Hilbert transform is applied to obtain R-peaks and beats. Twenty three different records extracted from the MIT-BIH arrhythmia database were used to validate the proposed approach. In this testing has been observed a 99.9 % of accuracy in detecting the QRS complexity, being a positive result in comparison with other recent researches.

Keywords

  • Hilbert transform
  • Electrocardiogram signals
  • Autocorrelation

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Author information

Authors and Affiliations

  1. Technological University of Ciudad Juarez, Chihuahua, Mexico

    Ricardo Rodríguez

  2. Polytechnic University of the State of Morelos, Morelos, Mexico

    Adriana Mexicano, Salvador Cervantes & Rafael Ponce

  3. Czech Technical University in Prague, Prague, Czech Republic

    Jiri Bila

Authors
  1. Ricardo Rodríguez
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  2. Adriana Mexicano
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  3. Salvador Cervantes
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  4. Jiri Bila
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  5. Rafael Ponce
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Corresponding author

Correspondence to Ricardo Rodríguez .

Editor information

Editors and Affiliations

  1. University of Tübingen, Tübingen, Germany

    Ali Sanayei

  2. Department of Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Institute of Physical and Theoretical Chemistry, University of Tübingen, Tübingen, Germany

    Otto E. Rössler

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Rodríguez, R., Mexicano, A., Cervantes, S., Bila, J., Ponce, R. (2014). Extracting the QRS Complexity and R Beats in Electrocardiogram Signals Using the Hilbert Transform. In: Sanayei, A., Zelinka, I., Rössler, O. (eds) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45438-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-45438-7_20

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