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Motor Imagery Classification by Means of Source Analysis for Brain Computer Interface Applications
We report a pilot study of performing classification of motor imagery for Brain Computer Interface applications, by means of source analysis of scalp-recorded EEGs. Independent component analysis (ICA) was used as a spatio-temporal filter extracting signal components relevant to left or right motor...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2005
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1945182/ https://ncbi.nlm.nih.gov/pubmed/16317229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/2/4/001 |
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