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

Handle URI:
http://hdl.handle.net/10754/594153
Title:
A first approach on fault detection and isolation for cardiovascular anomalies detection
Authors:
Ledezma, Fernando; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
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.
KAUST Department:
Mechanical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Diaz Ledezma F, Laleg-Kirati TM (2015) A first approach on fault detection and isolation for cardiovascular anomalies detection. 2015 American Control Conference (ACC). Available: http://dx.doi.org/10.1109/acc.2015.7172246.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 American Control Conference (ACC)
Conference/Event name:
2015 American Control Conference, ACC 2015
Issue Date:
Jul-2015
DOI:
10.1109/acc.2015.7172246
Type:
Conference Paper
Sponsors:
American Automatic Control Council (AACC)
Appears in Collections:
Conference Papers; Mechanical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLedezma, Fernandoen
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2016-01-19T13:22:46Zen
dc.date.available2016-01-19T13:22:46Zen
dc.date.issued2015-07en
dc.identifier.citationDiaz Ledezma F, Laleg-Kirati TM (2015) A first approach on fault detection and isolation for cardiovascular anomalies detection. 2015 American Control Conference (ACC). Available: http://dx.doi.org/10.1109/acc.2015.7172246.en
dc.identifier.doi10.1109/acc.2015.7172246en
dc.identifier.urihttp://hdl.handle.net/10754/594153en
dc.description.abstractIn 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.en
dc.description.sponsorshipAmerican Automatic Control Council (AACC)en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCardiovascular systemen
dc.subjectfault detectionen
dc.subjectobserver-based approachen
dc.subjectresidual generatoren
dc.titleA first approach on fault detection and isolation for cardiovascular anomalies detectionen
dc.typeConference Paperen
dc.contributor.departmentMechanical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 American Control Conference (ACC)en
dc.conference.date1 July 2015 through 3 July 2015en
dc.conference.name2015 American Control Conference, ACC 2015en
kaust.authorLedezma, Fernandoen
kaust.authorLaleg-Kirati, Taous-Meriemen
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