A first approach on fault detection and isolation for cardiovascular anomalies detection

Fernando Ledezma; Taous-Meriem Laleg-Kirati

doi:10.1109/acc.2015.7172246

A first approach on fault detection and isolation for cardiovascular anomalies detection

Fernando Ledezma, Taous-Meriem Laleg-Kirati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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. © 2015 American Automatic Control Council.

Original language	English (US)
Title of host publication	2015 American Control Conference (ACC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	5788-5793
Number of pages	6
ISBN (Print)	9781479986842
DOIs	https://doi.org/10.1109/acc.2015.7172246
State	Published - Jul 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: American Automatic Control Council (AACC)

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10.1109/acc.2015.7172246

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@inproceedings{d93bc2112dca4ffaa0e21301280a70d8,

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. {\textcopyright} 2015 American Automatic Control Council.",

author = "Fernando Ledezma and Taous-Meriem Laleg-Kirati",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: American Automatic Control Council (AACC)",

year = "2015",

month = jul,

doi = "10.1109/acc.2015.7172246",

language = "English (US)",

isbn = "9781479986842",

pages = "5788--5793",

booktitle = "2015 American Control Conference (ACC)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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T1 - A first approach on fault detection and isolation for cardiovascular anomalies detection

AU - Ledezma, Fernando

AU - Laleg-Kirati, Taous-Meriem

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: American Automatic Control Council (AACC)

PY - 2015/7

Y1 - 2015/7

N2 - 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. © 2015 American Automatic Control Council.

AB - 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. © 2015 American Automatic Control Council.

UR - http://hdl.handle.net/10754/594153

UR - http://ieeexplore.ieee.org/document/7172246/

UR - http://www.scopus.com/inward/record.url?scp=84940937359&partnerID=8YFLogxK

U2 - 10.1109/acc.2015.7172246

DO - 10.1109/acc.2015.7172246

M3 - Conference contribution

SN - 9781479986842

SP - 5788

EP - 5793

BT - 2015 American Control Conference (ACC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

A first approach on fault detection and isolation for cardiovascular anomalies detection

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