Your browser doesn't support javascript.
loading
Optimally-calibrated non-invasive feedback improves amputees' metabolic consumption, balance and walking confidence.
Chee, Lauren; Valle, Giacomo; Marazzi, Michele; Preatoni, Greta; Haufe, Florian L; Xiloyannis, Michele; Riener, Robert; Raspopovic, Stanisa.
Afiliación
  • Chee L; Laboratory for Neuroengineering, Department of Health Science and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, 8092 Zürich, Switzerland.
  • Valle G; Laboratory for Neuroengineering, Department of Health Science and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, 8092 Zürich, Switzerland.
  • Marazzi M; Laboratory for Neuroengineering, Department of Health Science and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, 8092 Zürich, Switzerland.
  • Preatoni G; Laboratory for Neuroengineering, Department of Health Science and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, 8092 Zürich, Switzerland.
  • Haufe FL; Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
  • Xiloyannis M; Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
  • Riener R; Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
  • Raspopovic S; Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland.
J Neural Eng ; 19(4)2022 08 25.
Article en En | MEDLINE | ID: mdl-35944515

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Miembros Artificiales / Amputados Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Miembros Artificiales / Amputados Límite: Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido