Design of a Hybrid Brain-Computer Interface and Virtual Reality System for Post-Stroke Rehabilitation

Mengjie Huang, Yuting Zheng, Jingjing Zhang, Bin'Ao Guo, Chenyu Song, Rui Yang

Research output: Contribution to journalConference articlepeer-review

17 Citations (Scopus)

Abstract

As one of common diseases among elderly, stroke often leads to motor impairment and even serious disability. Post-stroke rehabilitation is of great importance to restore the motor function and improve the life quality of stroke survivors. This study therefore sets out to propose a hybrid system based on brain-computer interface and virtual reality, which can provide various training programs including action observation, motor imagery and physical therapy for post-stroke patients with different motor control levels and training demands. The present work offers new insights into the way in which the conventional rehabilitation programs can be turned into innovative and interactive training experiences with advanced technologies to make optimal rehabilitation outcomes for stroke survivors.

Original languageEnglish
Pages (from-to)16010-16015
Number of pages6
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
Publication statusPublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020

Keywords

  • Brain-computer interface
  • Motor imagery
  • Rehabilitation engineering
  • Stroke
  • Virtual reality

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