A first approach on fault detection and isolation for cardiovascular anomalies detection
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Mechanical Engineering Program
Permanent link to this recordhttp://hdl.handle.net/10754/594153
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AbstractIn this paper, we use an extended version of the cardiovascular system's state space model presented by  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.
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.
SponsorsAmerican Automatic Control Council (AACC)
Conference/Event name2015 American Control Conference, ACC 2015