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Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set
The aim of a brain–computer interface (BCI) system is to establish a new communication system that translates human intentions, reflected by measures of brain signals such as magnetoencephalogram (MEG), into a control signal for an output device. In this paper, an algorithm is proposed for discrimin...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Research Foundation
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3317063/ https://ncbi.nlm.nih.gov/pubmed/22485087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2012.00042 |
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