Knowledge Commons of Institute of Automation,CAS
Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb | |
Ma, Xuelin1,2; Qiu, Shuang1; Wei, Wei1,2; Wang, Shengpei1,2; He, Huiguang1,2,3 | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING |
ISSN | 1534-4320 |
2020 | |
卷号 | 28期号:1页码:297-306 |
摘要 | Motor imagery (MI) is an important brain-computer interface (BCI) paradigm, which can be applied without external stimulus. Imagining different joint movements from the same limb allows intuitive control of the outer devices. However, few researches focused on this field, and the decoding accuracy limited the applications for practical use. In this study, we aim to use deep learning methods to explore the ceiling of the decoding performance of three tasks: the resting state, the MI of right hand and right elbow. To represent the brain functional relationships, the correlation matrix that consists of correlation coefficients between electrodes (channels) was calculated as features. We proposed the Channel-Correlation Network to learn the overall representation among channels for classification. Ensemble learning was applied to integrate the output of multiple Channel-Correlation Networks. Our proposed method achieved the decoding accuracy of up to 87.03% in the 3-class scenario. The results demonstrated the effectiveness of deep learning method for decoding MI of different joints from the same limb and the potential of this fine paradigm to be applied in practice. |
关键词 | Channel-correlation network electroen-cephalography (EEG) ensemble learning fine motor imagery same limb |
DOI | 10.1109/TNSRE.2019.2953121 |
关键词[WOS] | SINGLE-TRIAL EEG ; CONVOLUTIONAL NEURAL-NETWORKS ; FEATURE-EXTRACTION ; CLASSIFICATION ; DYNAMICS ; MACHINE ; REAL |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Strategic Priority Research Programof CAS[XDB32040200] ; National Natural Science Foundation of China[61976209] ; National Key Research and Development Program of China[2018YFC2001302] ; National Natural Science Foundation of China[81701785] ; National Natural Science Foundation of China[81701785] ; National Key Research and Development Program of China[2018YFC2001302] ; National Natural Science Foundation of China[61976209] ; Strategic Priority Research Programof CAS[XDB32040200] |
WOS研究方向 | Engineering ; Rehabilitation |
WOS类目 | Engineering, Biomedical ; Rehabilitation |
WOS记录号 | WOS:000508375400031 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 脑机接口 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/29484 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
通讯作者 | He, Huiguang |
作者单位 | 1.Chinese Acad Sci CASIA, Inst Automat, Natl Lab Pattern Recognit, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Ma, Xuelin,Qiu, Shuang,Wei, Wei,et al. Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2020,28(1):297-306. |
APA | Ma, Xuelin,Qiu, Shuang,Wei, Wei,Wang, Shengpei,&He, Huiguang.(2020).Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,28(1),297-306. |
MLA | Ma, Xuelin,et al."Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 28.1(2020):297-306. |
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