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

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 literatu...

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Autores principales: Baniqued, Paul Dominick E., Stanyer, Emily C., Awais, Muhammad, Alazmani, Ali, Jackson, Andrew E., Mon-Williams, Mark A., Mushtaq, Faisal, Holt, Raymond J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825186/
https://www.ncbi.nlm.nih.gov/pubmed/33485365
http://dx.doi.org/10.1186/s12984-021-00820-8
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author Baniqued, Paul Dominick E.
Stanyer, Emily C.
Awais, Muhammad
Alazmani, Ali
Jackson, Andrew E.
Mon-Williams, Mark A.
Mushtaq, Faisal
Holt, Raymond J.
author_facet Baniqued, Paul Dominick E.
Stanyer, Emily C.
Awais, Muhammad
Alazmani, Ali
Jackson, Andrew E.
Mon-Williams, Mark A.
Mushtaq, Faisal
Holt, Raymond J.
author_sort Baniqued, Paul Dominick E.
collection PubMed
description 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.
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spelling pubmed-78251862021-01-25 Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review Baniqued, Paul Dominick E. Stanyer, Emily C. Awais, Muhammad Alazmani, Ali Jackson, Andrew E. Mon-Williams, Mark A. Mushtaq, Faisal Holt, Raymond J. J Neuroeng Rehabil Review 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. BioMed Central 2021-01-23 /pmc/articles/PMC7825186/ /pubmed/33485365 http://dx.doi.org/10.1186/s12984-021-00820-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Baniqued, Paul Dominick E.
Stanyer, Emily C.
Awais, Muhammad
Alazmani, Ali
Jackson, Andrew E.
Mon-Williams, Mark A.
Mushtaq, Faisal
Holt, Raymond J.
Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title_full Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title_fullStr Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title_full_unstemmed Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title_short Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
title_sort brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825186/
https://www.ncbi.nlm.nih.gov/pubmed/33485365
http://dx.doi.org/10.1186/s12984-021-00820-8
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