Title :
Multiscale products for the detection of an electrocardiogram R wave: MIT-BIH polysomnographic
Author :
Werteni, H. ; Ellouze, Noureddine ; Yacoub, S.
Author_Institution :
Signal, Image & Inf. Technol. Lab., ENIT, Belvédère, Tunisia
Abstract :
In this paper, we propose a method for detecting R wave of an electrocardiogram (ECG) based on the detection of singularities through the local maxima. This method is based on the detection of singularities of the product of three successive levels of decomposition of the wavelet transform. We tested the algorithm of detection on various signals from the MIT / BIH polysomnographic database containing various types of pathologies.
Keywords :
electrocardiography; medical signal detection; wavelet transforms; MIT-BIH polysomnographic database; electrocardiogram; electrocardiogram R wave detection; local maxima; multiscale products; pathologies; singularity detection; wavelet transform; Databases; Electrocardiography; Filtering; Sleep apnea; Wavelet coefficients; Continuous wavelet transform Multiscale Products; ECG; MIT/BIH polysomnographic database; R-wave detection;
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
DOI :
10.1109/SETIT.2012.6482010
