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

  1. Rodríguez, Ricardo 2
  2. Mexicano, Adriana 1
  3. Cervantes, Salvador 1
  4. Bila, Jiri 3
  5. Ponce, Rafael 1
  1. 1 Polytechnic University of the State of Morelos, Morelos, Mexico
  2. 2 Technological University of Ciudad Juarez, Chihuahua, Mexico
  3. 3 Czech Technical University in Prague, Prague, Czech Republic
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Libro:
ISCS 2013: Interdisciplinary Symposium on Complex Systems

Editorial: Springer

ISSN: 2194-7287,  2194-7295

ISBN: 978-3-642-45437-0,  978-3-642-45438-7

Año de publicación: 2014

Páginas: 203-213

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-642-45438-7_20 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

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.

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