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题名: Comparison of optical and concentration feature used for fNIRS-based BCI system using HMM
作者: 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)
作者部门: 机器人学研究室
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
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
出版日期: 2013
页码: 1443-1448
收录类别: EI
ISSN号: 1660-9336
ISBN号: 9783037858103
关键词: Brain computer interface ; Electronics engineering ; Feature extraction ; Hidden Markov models ; Optical signal processing
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.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13904
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
徐保磊; 伏云发; 石刚; 尹旭贤; 缪磊; 王志东; 李洪谊.Comparison of optical and concentration feature used for fNIRS-based BCI system using HMM.见:Trans Tech Publications Ltd,.Applied Mechanics and Materials,Zurich-Durnten, Switzerland,2013,1443-1448
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