@inproceedings{96ba9ce89b8a45ee96c99360f5970aae,
title = "A first approach on fault detection and isolation for cardiovascular anomalies detection",
abstract = "In this paper, we use an extended version of the cardiovascular system's state space model presented by [1] and propose a fault detection and isolation methodology to study the problem of detecting cardiovascular anomalies that can originate from variations in physiological parameters and deviations in the performance of the heart's mitral and aortic valves. An observer-based approach is discussed as the basis of the method. The approach contemplates a bank of Extended Kalman Filters to achieve joint estimation of the model's states and parameters and to detect malfunctions in the valves' performance.",
keywords = "Cardiovascular system, fault detection, observer-based approach, residual generator",
author = "{Diaz Ledezma}, F. and Laleg-Kirati, {T. M.}",
note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
year = "2015",
month = jul,
day = "28",
doi = "10.1109/ACC.2015.7172246",
language = "English",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5788--5793",
booktitle = "ACC 2015 - 2015 American Control Conference",
}