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题名: Classification of fNIRS Data Using Wavelets and Support Vector Machine during Speed and Force Imagination
作者: Xu BL(徐保磊) ; Fu YF(伏云发) ; Miao 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: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议日期: December 7-11, 2011
会议地点: Phuket, Thailand
会议主办者: IEEE Robotics and Automation Society
会议录: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议录出版者: IEEE Computer Society
会议录出版地: Piscataway, NJ
出版日期: 2011
页码: 1224-1229
收录类别: EI
ISBN号: 978-1-4577-2136-6
关键词: Accuracy ; Approximation methods ; Electroencephalography ; Force ; Multiresolution analysis ; Robots ; Support vector machines
摘要: In this paper, we present a method for classifying functional near-infrared spectroscopy (fNIRS) data using wavelets and support vector machine (SVM). fNIRS data is acquired by ETG-4000 during speed and force imagination. Probes location is around C3 and C4 in 10–20 international system. After preprocessing the data using NIRS-SPM, we decompose it with ‘db5’ wavelet for 9 levels to do a multiresolution analysis (MRA). Then, the approximation and detail signal at every level are used for SVM classification using libSVM toolbox. The results show that frequency band between 0.02 and 0.08Hz is important for classification, especially frequency band between 0.02 and 0.04Hz. This finding is useful for building an fNIRS-based brain computer interface (BCI) system.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8601
Appears in Collections:机器人学研究室_会议论文

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