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Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features
Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic applications. A desirable BCI system should be portable, minimally invasive, and feature high classification accuracy and efficiency. As two commonly used non-invasive brain imaging modalities, Electroencephalography...
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| Publicado no: | Front Hum Neurosci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5605645/ https://ncbi.nlm.nih.gov/pubmed/28966581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2017.00462 |
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