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Decoding continuous kinetic information of grasp from stereo-electroencephalographic (SEEG) recordings.
Wu, Xiaolong; Li, Guangye; Jiang, Shize; Wellington, Scott; Liu, Shengjie; Wu, Zehan; Metcalfe, Benjamin; Chen, Liang; Zhang, Dingguo.
Afiliación
  • Wu X; Centre for Autonomous Robotics (CENTAUR), Department of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
  • Li G; State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Jiang S; Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
  • Wellington S; Centre for Autonomous Robotics (CENTAUR), Department of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
  • Liu S; State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Wu Z; Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
  • Metcalfe B; Centre for Autonomous Robotics (CENTAUR), Department of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
  • Chen L; Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
  • Zhang D; Centre for Autonomous Robotics (CENTAUR), Department of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
J Neural Eng ; 19(2)2022 04 21.
Article en En | MEDLINE | ID: mdl-35395645
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Interfaces Cerebro-Computador Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Interfaces Cerebro-Computador Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido