Electrocardiogram Signal Analysing - Delineation and Localization of ECG Component

Ouadi Beya, Mohamad-Mazen Hittawe, Nacira Zegadi, Eric Fauvet, Olivier Laligant

2016

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.

Paper Citation

in Harvard Style

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 - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 156-161. DOI: 10.5220/0005684501560161

in Bibtex Style

@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 - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={156-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005684501560161},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Electrocardiogram Signal Analysing - Delineation and Localization of ECG Component
SN - 978-989-758-170-0
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