Abidirectional brain-computer interface for effective epilepsy control |
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Authors: | Yu Qi Fei-qiang Ma Ting-ting Ge Yue-ming Wang Jun-ming Zhu Jian-min Zhang Xiao-xiang Zheng Zhao-hui Wu |
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Affiliation: | 1. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, 310027, China 2. Department of Computer Science, Zhejiang University, Hangzhou, 310027, China 3. Second Affiliated Hospital of Zhejiang University College of Medicine, Hangzhou, 310027, China 4. College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China
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Abstract: | 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. |
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Keywords: | Brain-computer interface Epilepsy Seizure detection Responsive neurostimulation |
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