A first approach on fault detection and isolation for cardiovascular anomalies detection
Type
Conference PaperKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Mechanical Engineering Program
Date
2015-07Permanent link to this record
http://hdl.handle.net/10754/594153
Metadata
Show full item recordAbstract
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.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.Sponsors
American Automatic Control Council (AACC)Conference/Event name
2015 American Control Conference, ACC 2015ae974a485f413a2113503eed53cd6c53
10.1109/acc.2015.7172246