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Brain⁻Computer Interfaces for Human Augmentation.
Valeriani, Davide; Cinel, Caterina; Poli, Riccardo.
Afiliação
  • Valeriani D; Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA. davide_valeriani@meei.harvard.edu.
  • Cinel C; Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK. ccinel@essex.ac.uk.
  • Poli R; Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK. rpoli@essex.ac.uk.
Brain Sci ; 9(2)2019 Jan 24.
Article em En | MEDLINE | ID: mdl-30682766
ABSTRACT
The field of brain⁻computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for people with severe disabilities [...].
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article