DocumentCode :
184724
Title :
Model predictive control of the cardiac amplitude of alternans PDE
Author :
Yapari, Felicia ; Dubljevic, Stevan
Author_Institution :
Fac. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
5440
Lastpage :
5445
Abstract :
Sudden cardiac death resulting from ventricular arrhythmia is one of the leading causes of mortality in the United States. The beat-to-beat oscillations in the action potential duration (APD) of paced cardiac cells, defined as cardiac alternans, has been identified as a potential precursor to ventricular arrhythmia. Therefore, the annihilation of these alternans is a promising antiarrhythmic strategy. In this work, the small amplitude of alternans partial differential equation (PDE) for a one dimensional cable of cardiac cells is stabilized through model predictive control (MPC). In our proposed control strategy, both boundary and spatially distributed actuators are utilized in suppressing the alternans along the cable. The low-order MPC formulation is developed for the finite-dimensional, discrete state space representation of the PDE. Furthermore, input and state constraints are addressed explicitly in the MPC formulation. The input constraints may arise due to actuator limitations, while state constraints are naturally present in cardiac systems. By satisfying these constraints, we can ensure that the controller action will not induce conduction block in the cardiac cells. Simulation results are presented to demonstrate the successful annihilation of alternans using the proposed control algorithm.
Keywords :
actuators; bioelectric potentials; cardiology; cellular biophysics; diseases; medical control systems; partial differential equations; predictive control; action potential duration; alternans partial differential equation; antiarrhythmic strategy; beat-to-beat oscillations; control algorithm; controller action; discrete state space representation; finite-dimensional representation; low-order MPC formulation; model predictive control; paced cardiac cells; spatially distributed actuators; sudden cardiac death; ventricular arrhythmia; Actuators; Aerospace electronics; Bifurcation; Eigenvalues and eigenfunctions; Power cables; Predictive control; Biological systems; Distributed parameter systems; Predictive control for linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6859252
Filename :
6859252
Link To Document :
بازگشت