Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface
	Yin XX(尹旭贤); Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东); Li HY(李洪谊); Shi G(石刚)
刊名	JOURNAL OF MEDICAL SYSTEMS
	2015
卷号	39 期号:5 页码:1-8
关键词	Functional near-infrared spectroscopy (fNIRS) Brain-computer interface (BCI) Joint mutual information (JMI) Extreme learning machine (ELM) Force/speed imagery
ISSN号	0148-5598
通讯作者	徐保磊
产权排序	1
中文摘要	Functional near-infrared spectroscopy (fNIRS) is an emerging optical technique, which can assess brain activities associated with tasks. In this study, six participants were asked to perform three imageries of hand clenching associated with force and speed, respectively. Joint mutual information (JMI) criterion was used to extract the optimal features of hemodynamic responses. And extreme learning machine (ELM) was employed to be the classifier. ELM solved the major bottleneck of feedforward neural networks in learning speed, this classifier was easily implemented and less sensitive to specified parameters. The 2-class fNIRS-BCI system was firstly built with an average accuracy of 76.7%, when all force and speed tasks were categorized as one class, respectively. The multi-class systems based on different levels of force and speed attempted to be investigated, the accuracies were moderate. This study provided a novel paradigm for establishing fNIRS-BCI system, and provided a possibility to produce more degrees of freedom in BCI system.
收录类别	SCI
语种	英语
WOS记录号	WOS:000352821900012
内容类型	期刊论文
源URL	[http://ir.sia.ac.cn/handle/173321/16225]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Yin XX,Xu BL,Jiang ZH,et al. Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface[J]. JOURNAL OF MEDICAL SYSTEMS,2015,39(5):1-8.
APA	Yin XX.,Xu BL.,Jiang ZH.,Fu YF.,Wang ZD.,...&Shi G.(2015).Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface.JOURNAL OF MEDICAL SYSTEMS,39(5),1-8.
MLA	Yin XX,et al."Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface".JOURNAL OF MEDICAL SYSTEMS 39.5(2015):1-8.