Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Journal: Journal of neuroengineering and rehabilitation
Published Date: Jan 23, 2021

Abstract

BACKGROUND: Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective.

Authors

  • Paul Dominick E Baniqued
    School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Emily C Stanyer
    School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK.
  • Muhammad Awais
    College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
  • Ali Alazmani
    School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA.
  • Andrew E Jackson
    School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Mark A Mon-Williams
    School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK.
  • Faisal Mushtaq
    School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK. f.mushtaq@leeds.ac.uk.
  • Raymond J Holt
    School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.

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