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A Computationally Efficient Method for Hybrid EEG-fNIRS BCI Based on the Pearson Correlation
A hybrid brain computer interface (BCI) system considered here is a combination of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). EEG-fNIRS signals are simultaneously recorded to achieve high motor imagery task classification. This integration helps to achieve better...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453261/ https://www.ncbi.nlm.nih.gov/pubmed/32923476 http://dx.doi.org/10.1155/2020/1838140 |