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CLC number: TP39; R31

On-line Access: 2014-10-09

Received: 2014-04-26

Revision Accepted: 2014-08-11

Crosschecked: 2014-09-17

Cited: 1

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Journal of Zhejiang University SCIENCE C 2014 Vol.15 No.10 P.839-847


A bidirectional brain-computer interface for effective epilepsy control

Author(s):  Yu Qi, Fei-qiang Ma, Ting-ting Ge, Yue-ming Wang, Jun-ming Zhu, Jian-min Zhang, Xiao-xiang Zheng, Zhao-hui Wu

Affiliation(s):  Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   ymingwang@zju.edu.cn

Key Words:  Brain-computer interface, Epilepsy, Seizure detection, Responsive neurostimulation

Yu Qi, Fei-qiang Ma, Ting-ting Ge, Yue-ming Wang, Jun-ming Zhu, Jian-min Zhang, Xiao-xiang Zheng, Zhao-hui Wu. A bidirectional brain-computer interface for effective epilepsy control[J]. Journal of Zhejiang University Science C, 2014, 15(10): 839-847.

@article{title="A bidirectional brain-computer interface for effective epilepsy control",
author="Yu Qi, Fei-qiang Ma, Ting-ting Ge, Yue-ming Wang, Jun-ming Zhu, Jian-min Zhang, Xiao-xiang Zheng, Zhao-hui Wu",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T A bidirectional brain-computer interface for effective epilepsy control
%A Yu Qi
%A Fei-qiang Ma
%A Ting-ting Ge
%A Yue-ming Wang
%A Jun-ming Zhu
%A Jian-min Zhang
%A Xiao-xiang Zheng
%A Zhao-hui Wu
%J Journal of Zhejiang University SCIENCE C
%V 15
%N 10
%P 839-847
%@ 1869-1951
%D 2014
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1400152

T1 - A bidirectional brain-computer interface for effective epilepsy control
A1 - Yu Qi
A1 - Fei-qiang Ma
A1 - Ting-ting Ge
A1 - Yue-ming Wang
A1 - Jun-ming Zhu
A1 - Jian-min Zhang
A1 - Xiao-xiang Zheng
A1 - Zhao-hui Wu
J0 - Journal of Zhejiang University Science C
VL - 15
IS - 10
SP - 839
EP - 847
%@ 1869-1951
Y1 - 2014
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1400152

brain-computer interfaces (BCIs) can provide direct bidirectional communication between the brain and a machine. Recently, the BCI technique has been used in seizure control. Usually, a closed-loop system based on BCI is set up which delivers a therapic electrical stimulus only in response to seizure onsets. In this way, the side effects of neurostimulation can be greatly reduced. In this paper, a new BCI-based responsive stimulation system is proposed. With an efficient morphology-based seizure detector, seizure events can be identified in the early stages which trigger electrical stimulations to be sent to the cortex of the brain. The proposed system was tested on rats with penicillin-induced epileptic seizures. Online experiments show that 83% of the seizures could be detected successfully with a short average time delay of 3.11 s. With the therapy of the BCI-based seizure control system, most seizures were suppressed within 10 s. Compared with the control group, the average seizure duration was reduced by 30.7%. Therefore, the proposed system can control epileptic seizures effectively and has potential in clinical applications.



Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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