Control of epileptiform spikes based on nonlinear unscented Kalman filter |
| |
Authors: | Liu Xian Gao Qing Li Xiao-Li |
| |
Affiliation: | Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China |
| |
Abstract: | 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. |
| |
Keywords: | unscented Kalman filter (UKF) control epileptiform spike closed-loop control neural mass model |
本文献已被 CNKI 等数据库收录! |
| 点击此处可从《中国物理 B》浏览原始摘要信息 |
|
点击此处可从《中国物理 B》下载免费的PDF全文 |