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Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement
Qiu, Zhaoyang; Allison, Brendan Z.; Jin J(金晶); Zhang Y(张宇); Wang XY(王行愚); Li W(李伟); Cichocki, Andrzej
Department水下机器人研究室
Source PublicationIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
ISSN1534-4320
2017
Volume25Issue:7Pages:1009-1017
Indexed BySCI ; EI
EI Accession number20173904202043
WOS IDWOS:000407431300022
Contribution Rank3
Funding OrganizationGrant National Natural Science Foundation of China [61573142, 61203127, 91420302, 61305028] ; 13 Fundamental Research Funds for the Central Universities [WG1414005, WH1314023, WH1516018] ; Shanghai Chenguang Program [14CG31]
KeywordMotor Imagery Brain-computer Interface (Bci) Csp Paradigm
AbstractBackground: motor imagery (MI) is a mental representation of motor behavior. The MI-based brain computer interfaces (BCIs) can provide communication for the physically impaired. The performance of MI-based BCI mainly depends on the subject's ability to self-modulate electroencephalogram signals. Proper training can help naive subjects learn to modulate brain activity proficiently. However, training subjects typically involve abstract motor tasks and are time-consuming. Methods: to improve the performance of naive subjects during motor imagery, a novel paradigm was presented that would guide naive subjects to modulate brain activity effectively. In this new paradigm, pictures of the left or right hand were used as cues for subjects to finish the motor imagery task. Fourteen healthy subjects (11 male, aged 22-25 years, and mean 23.6 +/- 1.16) participated in this study. The task was to imagine writing a Chinese character. Specifically, subjects could imagine hand movements corresponding to the sequence of writing strokes in the Chinese character. This paradigm was meant to find an effective and familiar action formost Chinese people, to provide them with a specific, extensively practiced task and help them modulate brain activity. Results: results showed that the writing task paradigm yielded significantly better performance than the traditional arrow paradigm (p < 0.001). Questionnaire replies indicated that most subjects thought that the new paradigm was easier. Conclusion: the proposed new motor imagery paradigm could guide subjects to help them modulate brain activity effectively. Results showed that there were significant improvements using new paradigm, both in classification accuracy and usability.
Language英语
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS SubjectEngineering, Biomedical ; Rehabilitation
WOS KeywordBRAIN-COMPUTER INTERFACE ; SINGLE-TRIAL EEG ; VISUAL-EVOKED POTENTIALS ; ELECTROPHYSIOLOGICAL CORRELATE ; SYNCHRONIZATION ERS ; CORTICAL AREAS ; MU-RHYTHMS ; BCI ; CLASSIFICATION ; PERFORMANCE
WOS Research AreaEngineering ; Rehabilitation
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20871
Collection水下机器人研究室
Corresponding AuthorJin J(金晶); Wang XY(王行愚)
Affiliation1.Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
2.Cognitive Science Department, University of California at San Diego, San Diego, CA, 92093, United States
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4.School of ElectricalEngineering and Automation, Tianjin University, Tianjin, 300072, China
5.Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, CA, 93311, United States
6.Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Wako-Shi, Japan
7.Skolkovo Institute of Science and Technology, Moscow, Russia
8.Nicolaus Copernicus University (UMK), Torun, Poland
Recommended Citation
GB/T 7714
Qiu, Zhaoyang,Allison, Brendan Z.,Jin J,et al. Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2017,25(7):1009-1017.
APA Qiu, Zhaoyang.,Allison, Brendan Z..,Jin J.,Zhang Y.,Wang XY.,...&Cichocki, Andrzej.(2017).Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,25(7),1009-1017.
MLA Qiu, Zhaoyang,et al."Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 25.7(2017):1009-1017.
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