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The Complex Geometry of the Mandelbrot Set Read chapter Read first chapter

2014 | OriginalPaper | Chapter

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

Authors : Ricardo Rodríguez, Adriana Mexicano, Salvador Cervantes, Jiri Bila, Rafael Ponce

Published in: ISCS 2013: Interdisciplinary Symposium on Complex Systems

Publisher: Springer Berlin Heidelberg

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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.

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Metadata
Title
Extracting the QRS Complexity and R Beats in Electrocardiogram Signals Using the Hilbert Transform
Authors
Ricardo Rodríguez
Adriana Mexicano
Salvador Cervantes
Jiri Bila
Rafael Ponce
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
ISCS 2013: Interdisciplinary Symposium on Complex Systems

Print ISBN: 978-3-642-45437-0

Electronic ISBN: 978-3-642-45438-7

Copyright Year: 2014

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

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