Institute of Sports Medicine and Health, Chengdu Sport University.
School of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province.
Medicine (Baltimore). 2021 Jun 11;100(23):e26254. doi: 10.1097/MD.0000000000026254.
In recent years, with the development of medical technology and the increase of inter-disciplinary cooperation technology, new methods in the field of artificial intelligence medicine emerge in an endless stream. Brain-computer interface (BCI), as a frontier technology of multidisciplinary integration, has been widely used in various fields. Studies have shown that BCI-assisted training can improve upper limb function in stroke patients, but its effect is still controversial and lacks evidence-based evidence, which requires further exploration and confirmation. Therefore, the main purpose of this paper is to systematically evaluate the efficacy of different BCI-assisted training on upper limb function recovery in stroke patients, to provide a reference for the application of BCI-assisted technology in stroke rehabilitation.
We will search PubMed, Web of Science, The Cochrane Library, Chinese National Knowledge Infrastructure Database, Wanfang Data, Weipu Electronics, and other databases (from the establishment to February 2021) for full text in Chinese and English. Randomized controlled trials were collected to examine the effect of BCI-assisted training on upper limb functional recovery in stroke patients. We will consider inclusion, select high-quality articles for data extraction and analysis, and summarize the intervention effect of BCI-assisted training on the upper limb function of stroke patients. Two reviewers will screen titles, abstracts, and full texts independently according to inclusion criteria; Data extraction and risk of bias assessment were performed in the included studies. We will use a hierarchy of recommended assessment, development, and assessment methods to assess the overall certainty of the evidence and report findings accordingly. Endnote X8 will be applied in selecting the study, Review Manager 5.3 will be applied in analyzing and synthesizing.
The results will provide evidence for judging whether BCI is effective and safe in improving upper limb function in patients with stroke.
Our study will provide reliable evidence for the effect of BCI technology on the improvement of upper limb function in stroke patients.
CRD42021250378.
近年来,随着医疗技术的发展和跨学科合作技术的增加,人工智能医学领域不断涌现出新的方法。脑机接口(BCI)作为多学科融合的前沿技术,已广泛应用于各个领域。研究表明,BCI 辅助训练可以改善脑卒中患者的上肢功能,但效果仍存在争议,缺乏循证证据,需要进一步探索和证实。因此,本文的主要目的是系统评价不同 BCI 辅助训练对脑卒中患者上肢功能恢复的疗效,为 BCI 辅助技术在脑卒中康复中的应用提供参考。
我们将检索 PubMed、Web of Science、The Cochrane Library、中国知网、万方数据、维普电子期刊、中国生物医学文献服务系统等数据库(建库至 2021 年 2 月)中关于 BCI 辅助训练对脑卒中患者上肢功能恢复影响的中英文文献。收集随机对照试验,观察 BCI 辅助训练对脑卒中患者上肢功能恢复的影响。纳入研究进行资料提取和分析,总结 BCI 辅助训练对脑卒中患者上肢功能的干预效果。两名评价者按照纳入标准独立筛选标题、摘要和全文;对纳入研究进行资料提取和偏倚风险评估。采用推荐评估、制定与评价方法的分级(Grading of Recommendations Assessment, Development and Evaluation,GRADE)对证据进行总体质量评价,并进行报告。运用 Endnote X8 软件进行研究筛选,RevMan 5.3 软件进行数据分析与合成。
研究结果将为判断 BCI 技术是否有效、安全,能否改善脑卒中患者上肢功能提供依据。
本研究将为 BCI 技术改善脑卒中患者上肢功能的效果提供可靠的证据。
CRD42021250378。