An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals

Brain-computer interfaces (BCI) can detect specific EEG patterns and translate them into control signals for external devices by providing people suffering from severe motor disabilities with an alternative/additional channel to communicate and interact with the outer world. Many EEG-based BCIs rely...

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Detalles Bibliográficos
Autores principales: Palumbo, Arrigo, Ielpo, Nicola, Calabrese, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749705/
https://www.ncbi.nlm.nih.gov/pubmed/35009860
http://dx.doi.org/10.3390/s22010318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749705/
https://www.ncbi.nlm.nih.gov/pubmed/35009860
http://dx.doi.org/10.3390/s22010318

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