Control of epileptiform spikes based on nonlinear unscented Kalman filter  

作　　者：刘仙 高庆 李小俚 

机构地区：[1]Key Lab of lndustrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering Yanshan University, Qinhuangdao 066004, China

出　　处：《Chinese Physics B》2014年第1期41-48,共8页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China （Grant Nos. 61004050 and 60125019） and the Natural Science Foundation of Scientific Research of Hebei Education Department, China （Grant No. 2009482）.

摘　　要：A new control strategy based on nonlinear unscented Kalman filter(UKF) is proposed for a neural mass model that serves as a model for simulating real epileptiform stereo-electroencephalographic (SEEG) signals. The UKF is used as an observer to estimate the state from the noisy measurement because it has been proved to be effective for state estimation of nonlinear systems. A UKF controller is constructed via the estimated state and is illustrated to be effective for epileptiform spikes suppression of aforementioned model by numerical simulations.A new control strategy based on nonlinear unscented Kalman filter(UKF) is proposed for a neural mass model that serves as a model for simulating real epileptiform stereo-electroencephalographic (SEEG) signals. The UKF is used as an observer to estimate the state from the noisy measurement because it has been proved to be effective for state estimation of nonlinear systems. A UKF controller is constructed via the estimated state and is illustrated to be effective for epileptiform spikes suppression of aforementioned model by numerical simulations.

关 键 词：unscented Kalman filter(UKF) control epileptiform spike closed-loop control neural mass model 

分 类 号：O[理学]