南方科技大学知识苑(SUSTech KC): Decoding Coordinated Directions of Bimanual Movements from EEG Signals

题名	Decoding Coordinated Directions of Bimanual Movements from EEG Signals
作者	Zhang，Mingming; Wu，Junde; Song，Jongbin; Fu，Ruiqi; Ma，Rui; Jiang，Yi chuan; Chen，Yi Feng
发表日期	2022
DOI	10.1109/TNSRE.2022.3220884
发表期刊	IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 影响因子和分区
ISSN	1534-4320
EISSN	1558-0210
卷号	PP 期号:99页码:1-1
摘要	Bimanual coordination is common in human daily life, whereas current research focused mainly on decoding unimanual movement from electroencephalogram (EEG) signals. Here we developed a brain-computer interface (BCI) paradigm of task-oriented bimanual movements to decode coordinated directions from movement-related cortical potentials (MRCPs) of EEG. Eight healthy subjects participated in the target-reaching task, including (1) performing leftward, midward, and rightward bimanual movements, and (2) performing leftward and rightward unimanual movements. A combined deep learning model of convolution neural network and bidirectional long short-term memory network was proposed to classify movement directions from EEG. Results showed that the average peak classification accuracy for three coordinated directions of bimanual movements reached 73.39 ± 6.35%. The binary classification accuracies achieved 80.24 ± 6.25, 82.62 ± 7.82, and 86.28 ± 5.50% for leftward versus midward, rightward versus midward and leftward versus rightward, respectively. We also compared the binary classification (leftward versus rightward) of bimanual, left-hand, and right-hand movements, and accuracies achieved 86.28 ± 5.50%, 75.67 ± 7.18%, and 77.79 ± 5.65%, respectively. The results indicated the feasibility of decoding human coordinated directions of task-oriented bimanual movements from EEG.
关键词	Band-pass filters Brain modeling brain-computer interface (BCI) coordinated directions Decoding deep learning electroencephalogram (EEG) Electroencephalography Feature extraction Monitoring Task analysis task-oriented bimanual movement
相关链接	[Scopus记录]
收录类别	EI ; SCI
语种	英语
学校署名	第一
EI入藏号	20224613123327
EI主题词	Bandpass filters ; Biomedical signal processing ; Brain ; Decoding ; Deep learning ; Electroencephalography ; Electrophysiology ; Interfaces (computer) ; Job analysis
EI分类号	Biomedical Engineering:461.1 ; Ergonomics and Human Factors Engineering:461.4 ; Medicine and Pharmacology:461.6 ; Electric Filters:703.2 ; Information Theory and Signal Processing:716.1 ; Computer Peripheral Equipment:722.2 ; Data Processing and Image Processing:723.2
ESI学科分类	ENGINEERING
Scopus记录号	2-s2.0-85141590845
来源库	Scopus
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9943285
引用统计	被引频次[WOS]：10
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/411898
专题	工学院_生物医学工程系
作者单位	Department of Biomedical Engineering, Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
第一作者单位	生物医学工程系
第一作者的第一单位	生物医学工程系
推荐引用方式 GB/T 7714	Zhang，Mingming,Wu，Junde,Song，Jongbin,et al. Decoding Coordinated Directions of Bimanual Movements from EEG Signals[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2022,PP(99):1-1.
APA	Zhang，Mingming.,Wu，Junde.,Song，Jongbin.,Fu，Ruiqi.,Ma，Rui.,...&Chen，Yi Feng.(2022).Decoding Coordinated Directions of Bimanual Movements from EEG Signals.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,PP(99),1-1.
MLA	Zhang，Mingming,et al."Decoding Coordinated Directions of Bimanual Movements from EEG Signals".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING PP.99(2022):1-1.