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Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks
Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) in an asynchronous Sensory Motor rhythm (SMR)-based BC...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4701662/ https://ncbi.nlm.nih.gov/pubmed/26730580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0146610 |
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