A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

In Phase I, we collected data on five subjects yielding over 90% positive performance in Magnetoencephalographic (MEG) mid-and post-movement activity. In addition, a driver was developed that substituted the actions of the Brain Computer Interface (BCI) as mouse button presses for real-time use in v...

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Detalles Bibliográficos
Autor principal: McClay, Wilbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313514/
https://www.ncbi.nlm.nih.gov/pubmed/30274210
http://dx.doi.org/10.3390/diseases6040089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313514/
https://www.ncbi.nlm.nih.gov/pubmed/30274210
http://dx.doi.org/10.3390/diseases6040089

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