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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.
Afiliação
  • Baniqued PDE; School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Stanyer EC; School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK.
  • Awais M; School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK.
  • Alazmani A; School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Jackson AE; School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Mon-Williams MA; School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK.
  • Mushtaq F; School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK. f.mushtaq@leeds.ac.uk.
  • Holt RJ; School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
J Neuroeng Rehabil ; 18(1): 15, 2021 01 23.
Article em En | MEDLINE | ID: mdl-33485365
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Robótica / Interfaces Cérebro-Computador / Reabilitação do Acidente Vascular Cerebral / Mãos / Destreza Motora Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Robótica / Interfaces Cérebro-Computador / Reabilitação do Acidente Vascular Cerebral / Mãos / Destreza Motora Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article