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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2007
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| Materias: | |
| 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 |