Using Multiscale Product for ECG Characterization
Joint Authors
Besrour, Rym
Ellouze, Noureddine
Lachiri, Zied
Source
Research Letters in Signal Processing
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-08-30
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
This paper introduces a new method for R wave's locations using the multiscale wavelet analysis, that is based on Mallat's and Hwang's approach for singularity detection via local maxima of the wavelet coefficients signals.
Using a first derivative Gaussian function as prototype wavelet, we apply the pointwise product of the wavelet coefficients (PWCs) over some successive scales, in order to enhance the peak amplitude of the modulus maxima line and to reduce noise.
The R wave corresponds to two modulus maximum lines with opposite signs (min-max) of multi-scale product.
The proposed algorithm does not include regularity analysis but only amplitude-based criteria.
We evaluated the algorithm on two manually annotated databases, such as MIT-BIH Arrhythmia and QT.
American Psychological Association (APA)
Besrour, Rym& Lachiri, Zied& Ellouze, Noureddine. 2009. Using Multiscale Product for ECG Characterization. Research Letters in Signal Processing،Vol. 2009, no. 2009, pp.1-5.
https://search.emarefa.net/detail/BIM-454734
Modern Language Association (MLA)
Besrour, Rym…[et al.]. Using Multiscale Product for ECG Characterization. Research Letters in Signal Processing No. 2009 (2009), pp.1-5.
https://search.emarefa.net/detail/BIM-454734
American Medical Association (AMA)
Besrour, Rym& Lachiri, Zied& Ellouze, Noureddine. Using Multiscale Product for ECG Characterization. Research Letters in Signal Processing. 2009. Vol. 2009, no. 2009, pp.1-5.
https://search.emarefa.net/detail/BIM-454734
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454734