An algorithm for idle-state detection in motor-imagery-based brain-computer interface.

An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Research Abstract Details 

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An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Abstract Text:

Dan Zhang,Yijun Wang,Xiaorong Gao,Bo Hong,Shangkai Gao,

For a robust brain-computer interface (BCI) system based on motor imagery (MI), it should be able to tell when the subject is not concentrating on MI tasks (the "idle state") so that real MI tasks could be extracted accurately. Moreover, because of the diversity of idle state, detecting idle state without training samples is as important as classifying MI tasks. In this paper, we propose an algorithm for solving this problem. A three-class classifier was constructed by combining two two-class classifiers, one specified for idle-state detection and the other for these two MI tasks. Common spatial subspace decomposition (CSSD) was used to extract the features of event-related desynchronization (ERD) in two motor imagery tasks. Then Fisher discriminant analysis (FDA) was employed in the design of two two-class classifiers for completion of detecting each task, respectively. The algorithm successfully provided a way to solve the problem of "idle-state detection without training samples." The algorithm was applied to the dataset IVc from BCI competition III. A final result with mean square error of 0.30 was obtained on the testing set. This is the winning algorithm in BCI competition III. In addition, the algorithm was also validated by applying to the EEG data of an MI experiment including "idle" task.

An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Publishing Authors By Initials

D Zhang,Y Wang,X Gao,B Hong,S Gao,

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An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Computational intelligence and neuroscience : CIN

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Page Numbers: 39714

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ISSN: 1687-5265

DAY: 15

MONTH: 02

YEAR: 2007

An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Information

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LANGUAGE: eng

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Grant and Affiliation Information for An algorithm for idle-state detection in motor-imagery-based brain-computer interface.

AFFILIATION: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.

Country: United States

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MEDLINETA: Comput Intell Neurosci

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