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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.

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Paper citation in several formats:
Beya, O.; Hittawe, M.; Zegadi, N.; Fauvet, E. and Laligant, O. (2016). Electrocardiogram Signal Analysing - Delineation and Localization of ECG Component. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOSIGNALS; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 156-161. DOI: 10.5220/0005684501560161

@conference{biosignals16,
author={Ouadi Beya. and Mohamad{-}Mazen Hittawe. and Nacira Zegadi. and Eric Fauvet. and Olivier Laligant.},
title={Electrocardiogram Signal Analysing - Delineation and Localization of ECG Component},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOSIGNALS},
year={2016},
pages={156-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005684501560161},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOSIGNALS
TI - Electrocardiogram Signal Analysing - Delineation and Localization of ECG Component
SN - 978-989-758-170-0
IS - 2184-4305
AU - Beya, O.
AU - Hittawe, M.
AU - Zegadi, N.
AU - Fauvet, E.
AU - Laligant, O.
PY - 2016
SP - 156
EP - 161
DO - 10.5220/0005684501560161
PB - SciTePress