Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.
Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.
复制标题
用于中风后手部康复的脑机接口机器人技术：一项系统综述
DOI：
10.1186/s12984-021-00820-8
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发表时间：
2021-01-23
影响因子：
5.1
通讯作者：
Holt RJ
中科院分区：
文献类型：
--
作者：
Baniqued PDE;Stanyer EC;Awais M;Alazmani A;Jackson AE;Mon-Williams MA;Mushtaq F;Holt RJ
手部康复是帮助中风幸存者恢复日常生活活动的核心。最近的研究表明，使用基于脑电图的脑机接口（BCI）可以促进这一过程。在这里，我们报告了对使用 BCI 机器人系统来康复与手部运动相关的精细运动技能的文献的首次系统检查，并从技术和临床角度对这些系统进行了分析。使用 Ovid MEDLINE、Embase、PEDro、PsycINFO、IEEE Xplore 和 Cochrane Library 数据库检索 2010 年 1 月至 2019 年 10 月的文章。选择标准包括用于不同发展阶段康复的脑机接口手机器人系统，涉及对健康参与者或中风患者进行测试。数据字段包括与研究设计、参与者特征、系统技术规范和临床结果测量相关的数据字段。 30 项研究被确定为符合定性审查条件，其中 11 项研究涉及对慢性和亚急性中风患者测试 BCI 手机器人。在三种 BCI 手机器人干预措施中，观察到运动评估分数相对于对照组有统计学上的显着改善。大多数研究的机器人控制程度仅限于使用运动想象触发设备执行抓握或捏捏动作。大多数人分别通过机器人设备和显示屏结合动觉和视觉反应，将反馈与运动想象相匹配。 30 项针对手部康复 BCI 机器人系统的研究中有 19 项报告系统处于原型或临床前开发阶段。我们发现报告中存在很大的异质性，并强调需要制定评估技术和临床结果的标准方案，以便能够开发关于效率和功效的必要证据基础。
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. 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. 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. 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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DOI：
10.3389/fneng.2014.00030
发表时间：
2014
期刊：
Frontiers in neuroengineering
影响因子：
--
作者：
Ang KK;Guan C;Phua KS;Wang C;Zhou L;Tang KY;Ephraim Joseph GJ;Kuah CW;Chua KS
通讯作者：
Chua KS
DOI：
10.1016/j.nicl.2017.03.005
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Belardinelli P;Laer L;Ortiz E;Braun C;Gharabaghi A
通讯作者：
Gharabaghi A
DOI：
10.1109/jbhi.2018.2863212
发表时间：
2018-11-01
影响因子：
7.7
作者：
Chowdhury, Anirban;Meena, Yogesh Kumar;Prasad, Girijesh
通讯作者：
Prasad, Girijesh
影响因子：
--
作者：
Berger, H
通讯作者：
Berger, H
影响因子：
5.4
作者：
Chang, Ching-Yi;Sung, Han-Yu;Kuo, Fan-Ray
通讯作者：
Kuo, Fan-Ray