Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dhouha Rezgui"'
Autor:
Zied Khessairi, Ghada Bahri, Faten Bouden, Najla Mechergui, Dhouha Rezgui, Nada Moujahed, Nizar Ladhari, Imen Youssef
Publikováno v:
Archives des Maladies Professionnelles et de l'Environnement. 83:389
Autor:
Imene Yousf, Dorra Aouida, Ghada Bahri, Faten Bouden, Dhouha Rezgui, Nada Moujahed, Imen Youssef, Nizar Ladhari
Publikováno v:
Archives des Maladies Professionnelles et de l'Environnement. 83:387
Autor:
Imen Youssef, Nizar Ladhari, Imene Yousfi, Hanene Ben Said, Dorra Aouida, Nada Moujahed, Dhouha Rezgui
Publikováno v:
Archives des Maladies Professionnelles et de l'Environnement. 81:541-542
Autor:
Dhouha Rezgui, Zied Lachiri
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 11:S94-S100
This paper presents a new approach for biometric personal identification based on electrocardiogram (ECG) features. ECG, which reflects cardiac electrical activity, is a distinctive characteristic of a person and can be used for security needs. Twent
Publikováno v:
XXXIIe Journées d’Études sur la Parole.
Autor:
Zied Lachiri, Dhouha Rezgui
Publikováno v:
IPAS
The automatic detection of electrocardiogram waves presents an important step for cardiac disease diagnosis. In this work, we developed an algorithm for locating the waveform boundaries by using the empirical mode decomposition which has interesting
Autor:
Dhouha Rezgui, Zied Lachiri
Publikováno v:
ATSIP
Presently biometric applications have been widely employed for security needs. They enable to provide a higher security level concerning physical or logical access. The electrocardiogram (ECG) signal can be exploited as a biological tool for human id
Autor:
Zied Lachiri, Dhouha Rezgui
Publikováno v:
2015 7th International Conference on Modelling, Identification and Control (ICMIC).
The electrocardiogram (ECG) is the most common non-invasive test possessing a significant clinical value to cardiac disease diagnostic. In this paper, we developed a robust ECG delineation algorithm based on Ensemble Empirical Mode Decomposition (EEM
Autor:
Dhouha Rezgui, Zied Lachiri
Publikováno v:
International Journal of Biomedical Engineering and Technology. 19:92