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

被引:127
作者
Baniqued, Paul Dominick E. [1 ]
Stanyer, Emily C. [2 ]
Awais, Muhammad [2 ]
Alazmani, Ali [1 ]
Jackson, Andrew E. [1 ]
Mon-Williams, Mark A. [2 ]
Mushtaq, Faisal [2 ]
Holt, Raymond J. [1 ]
机构
[1] Univ Leeds, Sch Mech Engn, Leeds LS2 9JT, W Yorkshire, England
[2] Univ Leeds, Sch Psychol, Leeds LS2 9JZ, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Brain-computer interface; EEG; Robotics; Rehabilitation; Motor imagery; Stroke; MOTOR IMAGERY; UPPER-LIMB; MENTAL REPRESENTATION; MACHINE INTERFACE; EXOSKELETON; RECOVERY; PLASTICITY; PATTERNS; THERAPY; DESYNCHRONIZATION;
D O I
10.1186/s12984-021-00820-8
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
BackgroundHand 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.MethodsA 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.Results30 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.Conclusion19 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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页数:25
相关论文
共 124 条
[1]   Classification of Four Class Motor Imagery for Brain Computer Interface [J].
Abdalsalam, Eltaf ;
Yusoff, Mohd Zuki ;
Kamel, Nidal ;
Malik, Aamir Saeed ;
Mahmoud, Dalia .
9TH INTERNATIONAL CONFERENCE ON ROBOTIC, VISION, SIGNAL PROCESSING AND POWER APPLICATIONS: EMPOWERING RESEARCH AND INNOVATION, 2017, 398 :297-305
[2]  
Ang Kai Keng, 2014, Front Neuroeng, V7, P30, DOI 10.3389/fneng.2014.00030
[3]   Filter bank common spatial pattern algorithm on BCI competition IV Datasets 2a and 2b [J].
Ang, Kai Keng ;
Chin, Zheng Yang ;
Wang, Chuanchu ;
Guan, Cuntai ;
Zhang, Haihong .
FRONTIERS IN NEUROSCIENCE, 2012, 6
[4]  
[Anonymous], 1999, PEDro Scale
[5]  
[Anonymous], 2015, 2015 E HLTH BIOENG C
[6]   Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI [J].
Arvaneh, Mahnaz ;
Guan, Cuntai ;
Ang, Kai Keng ;
Quek, Chai .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2011, 58 (06) :1865-1873
[7]  
Barsotti M, 2015, INT C REHAB ROBOT, P49, DOI 10.1109/ICORR.2015.7281174
[8]   Bridging the gap between motor imagery and motor execution with a brain-robot interface [J].
Bauer, Robert ;
Fels, Meike ;
Vukelic, Mathias ;
Ziemann, Ulf ;
Gharabaghi, Alireza .
NEUROIMAGE, 2015, 108 :319-327
[9]   Plasticity of premotor cortico-muscular coherence in severely impaired stroke patients with hand paralysis [J].
Belardinelli, Paolo ;
Laer, Leonard ;
Ortiz, Erick ;
Braun, Christoph ;
Gharabaghi, Alireza .
NEUROIMAGE-CLINICAL, 2017, 14 :726-733
[10]  
Bergamasco M, 2011, INT C REHAB ROBOT