Authors:
Ouadi Beya
1
;
Mohamad-Mazen Hittawe
1
;
Nacira Zegadi
2
;
Eric Fauvet
1
and
Olivier Laligant
1
Affiliations:
1
University of Burgundy, France
;
2
CARDiags, France
Keyword(s):
Signal Processing, NFLS, ECG, QRS Complex, Waves Delineation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
;
Computer Vision, Visualization and Computer Graphics
;
Detection and Identification
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
In this paper, we develop a new approach based on nonlinear filtering scheme (NLFS) on cardiac signal
to evaluate a robust single-lead electrocardiogram (ECG) delineation system and waves localization method
based on nonlinear filtering approach. This system is built in two phases, in the first phase, we proposed a
mathematical model for detecting ECG features like QRS complex peak, P and T-waves onsets and ends from
noise free of synthetic ECG signal. Later, we develop a theoretical model to obtain real approach for detecting
these features from real noisy ECG signals. Our method has been evaluated on electrocardiogram signals of
QT-MIT standard database, the QRS peak achieve sensitivity (Se) of 98.88 and a positive productivity (P+) of
98.43. For P-onset, P-end, T-end evaluations, this approach provides Sensitivity (Se) of 75.16, 71, and 90.7
respectively. Mean and standard deviation have been computed for differences between the automatic and
manual annotations.