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Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm.
Colamarino, Emma; Pichiorri, Floriana; Toppi, Jlenia; Mattia, Donatella; Cincotti, Febo.
Afiliação
  • Colamarino E; Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy. emma.colamarino@uniroma1.it.
  • Pichiorri F; Neuroelectric Imaging and Brain-Computer Interface Lab, Fondazione Santa Lucia, IRCCS, Via Ardeatina 306, 00179, Rome, Italy. emma.colamarino@uniroma1.it.
  • Toppi J; Neuroelectric Imaging and Brain-Computer Interface Lab, Fondazione Santa Lucia, IRCCS, Via Ardeatina 306, 00179, Rome, Italy.
  • Mattia D; Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy.
  • Cincotti F; Neuroelectric Imaging and Brain-Computer Interface Lab, Fondazione Santa Lucia, IRCCS, Via Ardeatina 306, 00179, Rome, Italy.
Brain Topogr ; 35(2): 182-190, 2022 03.
Article em En | MEDLINE | ID: mdl-35043274
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Interfaces Cérebro-Computador / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Interfaces Cérebro-Computador / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article