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Baniqued, P.D.E. orcid.org/0000-0001-7141-8330, Stanyer, E.C., Awais, M. et al. (5 more authors) (2020) Brain-Computer Interface Robotics for Hand Rehabilitation After Stroke: A Systematic Review. [Preprint - medRxiv]
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.
Methods
A search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures.
Results
30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery.
Conclusion
19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Metadata
Item Type: | Preprint |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. |
Keywords: | brain-computer interface, EEG, robotics, rehabilitation, motor imagery, stroke |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R031193/1 British Council Appln ref 331486777 NIHR National Inst Health Research R&D ARC M20086 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Sep 2025 12:21 |
Last Modified: | 18 Sep 2025 12:21 |
Published Version: | https://www.medrxiv.org/content/10.1101/2019.12.11... |
Identification Number: | 10.1101/2019.12.11.19014571 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:231467 |
Available Versions of this Item
- Brain-Computer Interface Robotics for Hand Rehabilitation After Stroke: A Systematic Review. (deposited 18 Sep 2025 12:21) [Currently Displayed]
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Filename: Brain-Computer Interface Robotics for Hand Rehabilitation.pdf
Licence: CC-BY-NC-ND 4.0