Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 22, 20 December 2023
Open
Access | Article
Application of brain computer interface in rehabilitation medicine
* Author to whom correspondence should be addressed.
Abstract
The definition of a brain-computer interface can be thought of as a brain version of a computer, making our brains more digital. Brain computer interface involved fields artificial intelligence, rehabilitation and bioengineering, and it is of great significance to promote the development of rehabilitation medicine. This essay introduces the working principle of brain computer interface. Some key techniques of BCI design are discussed from the aspects of system design, data acquisition method and processing. Finally, some major problems and future development trends are pointed out.
Keywords
brain-computer interface, invasive, non-invasive, semi-invasive, application of brain-computer interface
References
1. Liu Mingyue, Li Zhe, Cao Yongsheng, Hao Daojian, Song Xueyi. Effect of brain-computer interface training based on motor imagery on hand function rehabilitation of subacute stroke patients [J]. Chinese Journal of Rehabilitation Theory and Practice,2023,29(01):71-76.
2. Liu Xinyu, Wang Dongyun, Shi Li. Brain-machine interface application: education principle, potential and disorders [J]. Open education research, 2023, 29 (01) : 18 to 25. DOI: 10.13966 / j.carol carroll nki kfjyyj. 2023.01.002.
3. Liang Wandong, Guo Xiaohui, Cheng Bo, Le Zan. Application of brain-computer interface in rehabilitation medicine [J]. Medical Equipment,202,35(21):193-196.
4. Xin Hui, Li Peng, Li Xiuli, Wang Guiling. Effects of low frequency percutaneous acupoint electrical stimulation combined with balance needle and brain-computer interface technology on upper limb motor function in patients with cerebral apoplexy [J]. Acupuncture clinical journal, 2022, 38 (10) : 10-15. DOI: 10.19917 / j.carol carroll nki. 1005-0779.022184.
5. Tang WKe, Tang Jing-yang. The development space of rehabilitation robot is open. Can "medical + brain-computer interface" become a new industry model? [N]. The 21st century economic report, 2022-11-02 (012) DOI: 10.28723 / n.c. Nki NSJBD. 2022.004483.
6. Zeng Rui, He Lunfeng. Brain-computer interface technology spillover of the multidisciplinary spread risk and its regulation [J]. Journal of south China university of technology (social science edition), 2023, 25 (01) : 25-32. DOI: 10.19366 / j.carol carroll nki. 1009-055 - x. 2023.01.004.
7. Frances Cui. An Introduction to brain-computer interfaces [J]. Science,2022,74(06):1-4+38+69.
8. LIU Mingyue, Fan Yalei, Zhang Meng, Song Xue-yi, Li Zhe. Visualization analysis of brain-computer interface technology used in stroke rehabilitation in recent 10 years [J]. China Rehabilitation Theory & Practice,2023,29(02):223-230.
9. Allison, B.Z., Dunne, S., Leeb, R., Millan, J.D.R., and Nijholt, A. (2010). Towards Practical Brain-Computer Interfaces: Bridging the Gap from Research to Real-World Applications. Springer Berlin Heidelberg.
10. Zhang, Y., Zhou, G., Jin, J., and Wang, X. (2016). A Survey of Recent Advances in Brain-Computer Interfaces. Sensors, 16(12), 1-26.
11. Lebedev, M.A. and Nicolelis, M.A.L. (2017). Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. Physiological Reviews, 97(2), 767-837.
12. Wang Wei-zhen, Qu Hao, Lei Yang-hao, Yin Shuai, Wang Jing. [J]. Beijing Biomedical Engineering,2023,42(02):204-211.
13. Xiao Chongzhuo. Brain-computer interface (BCI) implementation principle and prospect [J]. Journal of digital technology and applications, 2017 (12) : 213-214 + 216. DOI: 10.19695 / j.carol carroll nki cn12-1369.2017.12.116.
14. PADFIELD N, ZABALZA J, ZHAO H,et al. EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges. Sensors (Basel). 2019; 19 (6) : 1432.
15. MATTIA D, PICHIORRI F, COLAMARINO E, et al. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response. BMC Neurol. 2020; 20 (1) : 254.
16. MORITA I, KEITH M W, KANNO TReconstruction of upper limb motor function using functional electrical stimulation (FES) [J] Acta neurochirurgica Supplement, 2007,97 (Pt 1) : 403-407.
17. Islam M N, Diya S Z, Proma R A, et al. Applying Brain-Computer Interface Technology for Evaluation of User Experience in Playing Games[C].International Conference on Electrical, Computer and Communication Engineering (ECCE 2019). 2019:16-19.
18. Wolpaw, J.R. and Wolpaw, E.W. (2012). Brain-computer interfaces: principles and practice. Oxford University Press.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 3rd International Conference on Biological Engineering and Medical Science
- ISBN (Print)
- 978-1-83558-217-6
- ISBN (Online)
- 978-1-83558-218-3
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/22/20230930
- Copyright
- 20 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited