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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

2020IFAC-PapersOnLine24 citationsDOIOpen Access PDF

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.

Topics & Concepts

RehabilitationVirtual realityPhysical medicine and rehabilitationStroke (engine)Motor imageryMotor functionBrain–computer interfaceInterface (matter)Quality of life (healthcare)Action (physics)Work (physics)PsychologyPhysical therapyComputer scienceHuman–computer interactionMedicineEngineeringNeurosciencePsychotherapistElectroencephalographyBubbleMaximum bubble pressure methodPhysicsQuantum mechanicsMechanical engineeringParallel computingEEG and Brain-Computer InterfacesStroke Rehabilitation and RecoveryGaze Tracking and Assistive Technology
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