Comparison of optical and concentration feature used for fNIRS-based BCI system using HMM
Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Yin XX(尹旭贤); Mou L(缪磊); Wang ZD(王志东); Li HY(李洪谊)
2013
会议名称2013 International Conference on Mechanical and Electronics Engineering, ICMEE 2013
会议日期August 17-18, 2013
会议地点Tianjin, China
关键词Brain computer interface Electronics engineering Feature extraction Hidden Markov models Optical signal processing
页码1443-1448
中文摘要Brain-Computer Interface (BCI) is very useful for people who lose limb control such as amyotrophic lateral sclerosis (ALS) patients, stroke patients and patients with prosthetic limbs. Among all the brain signal acquisition devices, functional near-infrared spectroscopy (fNIRS) is an efficient approach to detect hemodynamic responses correlated with brain activities using optical method, and its spatial resolution is much higher than EEG. In this paper, we investigate the classification performance of both optical signal and hemodynic signal that both used in fNIRS-based BCI system using Hidden Markov Model (HMM). Our results show that hemodynamic signal has a much lower error rate than optical signal, especially the Oxy-hemoglobin (HbO) has the lowest error rate. This result is important for researchers who want to design an fNIRS-based BCI system and get better performance. © (2013) Trans Tech Publications, Switzerland.
收录类别EI
产权排序1
会议主办者Tianjin University of Technology; Kagawa University; Hefei University of Technology
会议录Applied Mechanics and Materials
会议录出版者Trans Tech Publications Ltd,
会议录出版地Zurich-Durnten, Switzerland
语种英语
ISSN号1660-9336
ISBN号978-3-03785-810-3
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/13904]  
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
Xu BL,Fu YF,Shi G,et al. Comparison of optical and concentration feature used for fNIRS-based BCI system using HMM[C]. 见:2013 International Conference on Mechanical and Electronics Engineering, ICMEE 2013. Tianjin, China. August 17-18, 2013.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace