中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 脑图谱与类脑智能实验室
  5. 神经计算及脑机交互
Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb

文献类型：期刊论文

作者Ma, Xuelin2,3; Qiu, Shuang3; Wei, Wei2,3; Wang, Shengpei2,3; He, Huiguang1,2,3
刊名IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
出版日期2020
卷号28期号:1页码:297-306
关键词Channel-correlation network electroen-cephalography (EEG) ensemble learning fine motor imagery same limb
ISSN号1534-4320
DOI10.1109/TNSRE.2019.2953121
通讯作者He, Huiguang(huiguang.he@ia.ac.cn)
英文摘要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.
WOS关键词SINGLE-TRIAL EEG ; CONVOLUTIONAL NEURAL-NETWORKS ; FEATURE-EXTRACTION ; CLASSIFICATION ; DYNAMICS ; MACHINE ; REAL
资助项目National Key Research and Development Program of China[2018YFC2001302] ; National Natural Science Foundation of China[81701785] ; National Natural Science Foundation of China[61976209] ; Strategic Priority Research Programof CAS[XDB32040200]
WOS研究方向Engineering ; Rehabilitation
语种英语
WOS记录号WOS:000508375400031
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Programof CAS
源URL[http://ir.ia.ac.cn/handle/173211/29483]  
专题类脑智能研究中心_神经计算及脑机交互
通讯作者He, Huiguang
作者单位1.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Chinese Acad Sci CASIA, Inst Automat, Natl Lab Pattern Recognit, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China
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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

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。