Toward a Brain-Computer Interface- and Internet of Things-Based Smart Ward Collaborative System Using Hybrid Signals

This study proposes a brain-computer interface (BCI)- and Internet of Things (IoT)-based smart ward collaborative system using hybrid signals. The system is divided into hybrid asynchronous electroencephalography (EEG)-, electrooculography (EOG)- and gyro-based BCI control system and an IoT monitori...

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Detalles Bibliográficos
Autores principales: Cai, Xugang, Pan, Jiahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038386/
https://www.ncbi.nlm.nih.gov/pubmed/35480157
http://dx.doi.org/10.1155/2022/6894392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038386/
https://www.ncbi.nlm.nih.gov/pubmed/35480157
http://dx.doi.org/10.1155/2022/6894392

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