发明名称 Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches
摘要 Method and system for non-linear modeling of physiological behavior, such as R-R intervals, in implantable devices, such as a rate responsive pacemakers, comprising a comprehensive modeling and optimization methodology based on fractional calculus and constrained finite horizon optimal control theory that allows for allows for fine-grain optimization of pacemaker response to heart rate variations; and the theoretical basis on which a hardware implementation of the fractional optimal controller that can respond to changes in the heart rate dynamics. Present invention describes a fractal approach to pacemaker control based on the constrained finite horizon optimal control problem. This is achieved by modeling the heart rate dynamics via fractional differential equations. Also, by using calculus of variations, the invention describes how the constrained finite horizon optimal control problem can be reduced to solving a linear system of equations. Finally, the invention describes the theoretical basis on which a hardware implementation become possible.
申请公布号 US2014309707(A1) 申请公布日期 2014.10.16
申请号 US201414252265 申请日期 2014.04.14
申请人 CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Profit Corporation 发明人 Marculescu Radu;Bogdan Paul
分类号 A61N1/365 主分类号 A61N1/365
代理机构 代理人
主权项 1. A method for non-linear (fractional dynamics) modeling of physiological behavior measured by an implantable device, comprising the steps of: measuring the physiological behavior; determining magnitude of deviation between the measured physiological behavior and a reference value yref; modeling dynamics of the measured physiological behavior with continuous time fractional differential equations to identify parameters of a non-linear fractal model; selecting a constrained fractal optimal control problem; deriving optimality conditions for the constrained fractal optimal control problem when the magnitude of deviation exceeds a predetermined threshold; discretizing the optimality conditions for the constrained fractal optimal control problem; and solving the constrained fractal optimal control problem corresponding to the optimality conditions to identify an optimal physiological behavior to operate the implantable device.
地址 Pittsburgh PA US