NeuroCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks

	NeuroCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks
	Yixiong Chen; Jin Hu; Nikola Kasabov; Zeng-Guang Hou; Long Cheng
	2013
会议名称	20th International Conference on Neural Information Processing
会议日期	Nov, 2013
会议地点	Daegu
会议举办国	South Korea
摘要	One of the most important issues among active rehabilitation technique is how to extract the voluntary intention of patient through bio-signals, especially EEG signal. This pilot study investigates the feasibility of utilizing a 3D spiking neural networks-based architecture named NeuCube for EEG data classification in the rehabilitation practice. In this paper, the architecture of the NeuCube is designed and a Functional Electrical Stimulation (FES) rehabilitation scenario is introduced which requires accurate classification of EEG signal to achieve active FES control. Three classes of EEG signals corresponding to three imaginary wrist motions are collected and classified. The NeuCube architecture provides promising classification results, which demonstrates our proposed method is capable of extracting the voluntary intention in the rehabilitation practice.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23146
专题	复杂系统认知与决策实验室_先进机器人
推荐引用方式 GB/T 7714	Yixiong Chen,Jin Hu,Nikola Kasabov,et al. NeuroCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks[C],2013.