An Algorithm for Idle-State Detection in Motor-Imagery-Based Brain-Computer Interface

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 w...

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Detalles Bibliográficos
Autores principales: Zhang, Dan, Wang, Yijun, Gao, Xiaorong, Hong, Bo, Gao, Shangkai
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1994518/
https://www.ncbi.nlm.nih.gov/pubmed/18274604
http://dx.doi.org/10.1155/2007/39714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1994518/
https://www.ncbi.nlm.nih.gov/pubmed/18274604
http://dx.doi.org/10.1155/2007/39714

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