Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks

Hong Peng, Jinlong Chao, Yongzong Wang, Bin Hu*, Dennis Majoe

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

As a promising non-invasive technique, functional near-infrared spectroscopy(fNIRS) can easily detect the hemodynamic responses of cortical brain activities. This paper investigated the multiclass classification of motor imagery(MI)based on fNIRS. 10 healthy individuals were recruited to move an object using their imagination. A multi-channel continuous-wave fNIRS equipment was applied to obtain the signals from the prefrontal cortex(PFC). The combined Ensemble Empirical Mode Decomposition (EEMD) and Independent Component Analysis(ICA) method was used to solve the signal-noise frequency spectrum aliasing issues caused by Mayer wave(0.1Hz), then the signal means(SM) features were extracted as an input of Support Vector Machine(SVM) classifier. The average accuracies of 4 directions, up-down and left-right were 40.55%, 73.05%, 70.7% respectively using Hbo2(8-21s). This study demonstrated that Brodmann area 4 was activated, which is consistent with previous conclusions. Furthermore, we found that the orbitofrontal cortex is also involved in MI and O2sat can also serve as a classified index.

源语言英语
主期刊名Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
编辑Illhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
出版商Institute of Electrical and Electronics Engineers Inc.
360-366
页数7
ISBN(电子版)9781509030491
DOI
出版状态已出版 - 15 12月 2017
已对外发布
活动2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, 美国
期限: 13 11月 201716 11月 2017

出版系列

姓名Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
2017-January

会议

会议2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
国家/地区美国
Kansas City
时期13/11/1716/11/17

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