MINI REVIEW: THE APPLICATION OF BRAIN-COMPUTER INTERFACES IN ROBOTIC THERAPY

Author:

Farzaneh Mohammad MehdiORCID

Abstract

The idea of robotic therapy has been considered as a possible rehabilitation strategy to facilitate recovery of the patients with disability and it can represent an efficient treatment. Brain-computer interface (BCI) is known as an advanced technology with great potential in therapeutic and assistive robots. This paper is presented to review the application of BCI in rehabilitation robotic systems through the combination of BCI with electroencephalography (EEG) and functional electrical stimulation (FES). For this purpose, the basic concept of each of BCI, EEG, and FES is introduced to give a general view of their function. In addition, the application of EEG-BCI and FES-BCI systems in therapeutic and assistive treatments is showed by providing a summary of different researches for each field. In the end, this document is terminated with a discussion about the arguments behind the studied topics and the future directions of advances in robotic therapy.

Publisher

Granthaalayah Publications and Printers

Reference56 articles.

1. Ajiboye, A. B., Willett, F. R., Young, D. R., Memberg, W. D., Murphy, B. A., Miller, J. P., Walter, B. L., Sweet, J. A., Hoyen, H. A., Keith, M. W., Peckham, P. H., Simeral, J. D., Donoghue, J. P., Hochberg, L. R. & Kirsch, R. F. (2017). Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration. The Lancet 389(10081), 1821–1830. Retrieved from https://dx.doi.org/10.1016/s0140-6736(17)30601-3 10.1016/s0140-6736(17)30601-3

2. Ang, K. K., Chua, K. S., Phua, K. S., Wang, C., Chin, Z. Y. & Kuah, C. W. (2015). A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke. Clin EEG Neurosci 46(4), 310–320.

3. Barsotti, M., Leonardis, D., Loconsole, C., Solazzi, M., Sotgiu, E. & Procopio, C. (2015). A full upper limb robotic exoskeleton for reaching and grasping rehabilitation triggered by MI-BCI. IEEE International Conference on Rehabilitation Robotics (ICORR) 11–14.

4. Basteris, A., Nijenhuis, S. M., Stienen, A. H., Buurke, J. H., Prange, G. B. & Amirabdollahian, F. (2014). Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review. Journal of NeuroEngineering and Rehabilitation 11(1), 111. Retrieved from https://dx.doi.org/10.1186/1743-0003-11-111 10.1186/1743-0003-11-111

5. Biasiucci, A., Leeb, R., Iturrate, I., Perdikis, S., Al-Khodairy, A., Corbet, T., Schnider, A., Schmidlin, T., Zhang, H., Bassolino, M., Viceic, D., Vuadens, P., Guggisberg, A. G. & Millán, J. d. R. (2018). Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nature Communications 9(1), 2421. Retrieved from https://dx.doi.org/10.1038/s41467-018-04673-z 10.1038/s41467-018-04673-z

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3