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Spatio-Temporal EEG Models for Brain Interfaces
Multichannel electroencephalography (EEG) is widely used in non-invasive brain computer interfaces (BCIs) for user intent inference. EEG can be assumed to be a Gaussian process with unknown mean and autocovariance, and the estimation of parameters is required for BCI inference. However, the relative...
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| Pubblicato in: | Signal Processing |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5047025/ https://ncbi.nlm.nih.gov/pubmed/27713590 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.sigpro.2016.08.001 |
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