Seizure control in a neural mass model by an active disturbance rejection approach
文献类型:期刊论文
作者 | Wei, Wei1; Wei, Xiaofang1; Zuo, Min1; Li Y(李岩)2 |
刊名 | INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS |
出版日期 | 2019 |
卷号 | 16期号:6页码:1-15 |
ISSN号 | 1729-8814 |
关键词 | Closed-loop neuromodulation epilepsy the neural mass model active disturbance rejection control |
产权排序 | 3 |
英文摘要 | A closed-loop neuromodulation automatically adjusts stimuli according to brain response in real time. It is viewed as a promising way to control medically intractable epilepsy. A suitable closed-loop modulation strategy, which is robust enough to unknown nonlinearities, dynamics, and disturbances, is in great need in the clinic. For the specialization of epilepsy, the Jansen's neural mass model is utilized to simulate the undesired high amplitudes epileptic activities, and active disturbance rejection control is designed to suppress the high amplitudes of epileptiform discharges. With the help of active disturbance rejection control, closed-loop roots of the system are far from the imaginary axis. Time domain response shows that active disturbance rejection control is able to control seizure no matter whether disturbances exist or not. At the same time, frequency domain response presents that enough stability margins and a broader range of tunable controller parameters can be obtained. Stable regions have also been presented to provide guidance to choose the parameters of active disturbance rejection control. Numerical results show that, compared with proportional-integral control, more accurate modulation with less energy can be achieved by active disturbance rejection control. It confirms that the active disturbance rejection control-based neuromodulation solution is able to achieve a desired performance. It is a promising closed-loop neuromodulation strategy in seizure control. |
语种 | 英语 |
WOS记录号 | WOS:000499474700001 |
资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61873005, 81771395] ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan [CITTCD201704044] ; Key Program of Beijing Municipal Education Commission [KZ201810011012] |
源URL | [http://ir.sia.cn/handle/173321/25980] |
专题 | 海洋机器人卓越创新中心 |
通讯作者 | Li Y(李岩) |
作者单位 | 1.Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 3.Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China |
推荐引用方式 GB/T 7714 | Wei, Wei,Wei, Xiaofang,Zuo, Min,et al. Seizure control in a neural mass model by an active disturbance rejection approach[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2019,16(6):1-15. |
APA | Wei, Wei,Wei, Xiaofang,Zuo, Min,&Li Y.(2019).Seizure control in a neural mass model by an active disturbance rejection approach.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,16(6),1-15. |
MLA | Wei, Wei,et al."Seizure control in a neural mass model by an active disturbance rejection approach".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 16.6(2019):1-15. |
入库方式: OAI收割
来源:沈阳自动化研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。