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

Wilbert McClay

Open source

DOI: 10.3390/diseases6040089
Published: 2018-09-28
Container: Diseases
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/diseases6040089,
  title = {A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases},
  author = {Wilbert McClay},
  year = {2018},
  journal = {Diseases},
  doi = {10.3390/diseases6040089},
  url = {https://doi.org/10.3390/diseases6040089}
}

RIS

TY  - JOUR
TI  - A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases
AU  - Wilbert McClay
PY  - 2018
JO  - Diseases
DO  - 10.3390/diseases6040089
UR  - https://doi.org/10.3390/diseases6040089
ER  -

APA

McClay, W. (2018). A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases. Diseases. https://doi.org/10.3390/diseases6040089

Source records

crossref · retrieved 2026-09-26T07:35:16.701Z