Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

We present a mobile dataset obtained from electroencephalography (EEG) of the scalp and around the ear as well as from locomotion sensors by 24 participants moving at four different speeds while performing two brain-computer interface (BCI) tasks. The data were collected from 32-channel scalp-EEG, 1...

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Detalles Bibliográficos
Autores principales: Lee, Young-Eun, Shin, Gi-Hwan, Lee, Minji, Lee, Seong-Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688416/
https://www.ncbi.nlm.nih.gov/pubmed/34930915
http://dx.doi.org/10.1038/s41597-021-01094-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688416/
https://www.ncbi.nlm.nih.gov/pubmed/34930915
http://dx.doi.org/10.1038/s41597-021-01094-4

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