Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 21, 20 December 2023
Open
Access | Article
Effect of brain-computer interface training on functional recovery after stroke
* Author to whom correspondence should be addressed.
Abstract
As the aging population continues to grow, the incidence of stroke is increasing yearly. Patients with stroke often have residual motor dysfunction symptoms, which seriously affects their life and work. The traditional treatment methods have limited applicability and efficacy, making it difficult for patients to control their muscles voluntarily and achieve cortical-muscle coupling. Brain-computer interface (BCI) technology can enable patients with severely impaired motor function to control external devices through brain-controlled movements, thus promoting the efficiency of motor rehabilitation training and becoming a hot research topic. This article systematically summarizes the basic technology of BCI, its application in stroke rehabilitation, and future development trends.
References
1. Li, L., Yu, Y., Jia, Y., & Huang, H. Meta-analysis of the effect of brain-computer interface on upper limb motor function after stroke. Chinese Journal of Rehabilitation Theory and Practice, 27(07), 765-773 (2021).
2. Wang, L., Peng, B., Zhang, H., Wang, Y., Liu, M., Shan, C., Cao, L., Wang, L., Xie, W., Wang, P., & Ma, L. Summary of the 2020 China Stroke Prevention and Treatment Report. Chinese Journal of Cerebrovascular Diseases, 19(02), 136-144(2022).
3. Ostwald, S. K., Godwin, K. M., Ye, F., & Cron, S. G. Serious adverse events experienced by survivors of stroke in the first year following discharge from inpatient rehabilitation. PM&R, 5(2), 107-113 (2013).
4. He, F., He, B., Wang, Z., Chen, L., & Ming, D. Neurofeedback methods and rehabilitation application of brain-machine interaction movement training. Chinese Journal of Biomedical Engineering, 40(6), 719-730 (2021).
5. Kruse, A., Suica, Z., Taeymans, J., et al. Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke: a systematic review and meta-analysis. Journal of Neuro Engineering and Rehabilitation, 17(1), 1-20 (2020).
6. Mane, R., Chouhan, T., & Guan, C. BCI for stroke rehabilitation: motor and beyond. IOP Publishing (2020).
7. Yang, S., Li, R., Li, H., Xu, K., Shi, Y., Wang, Q., Yang, T., & Sun, X. Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation. BioMed Research International (2021).
8. Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. Brain-computer interfaces for communication and rehabilitation. Springer Nature (2016).
9. Ren, H., & Xie, Z. Efficacy observation of brain-computer interface technology in the rehabilitation treatment of upper limb motor function in patients with stroke. Chinese Practical Medicine (2020).
10. Chen, X., Wang, Y., & Zhang, D. Retrospect of 2018 hotspots in brain-computer interface development. Science and Technology Review, 37(01), 173-179 (2019).
11. Saha, S., Mamun, K. A., Ahmed, K., Mostafa, R., Naik, G. R., Darvishi, S., Khandoker, A. H., & Baumert, M. Progress in Brain Computer Interface: Challenges and Opportunities. Frontiers (2021).
12. Sebastián-Romagosa, M., Cho, W., Ortner, R., Murovec, N., Von Oertzen, T., & Kamada, K. Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study. Frontiers (2020).
13. Remsik, A., Young, B., Vermilyea, R., Kiekhoefer, L., Abrams, J., & Evander Elmore, S. A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke. Expert Review of Medical Devices (2016).
14. Cervera, M. A., Soekadar, S. R., Ushiba, J., Millan, J. D. R., Liu, M., Birbaumer, N., & Garipelli, G. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis. American Neurological Association (2018).
15. Huo, C. C., Zheng, Y., Lu, W. W., et al. Prospects for intelligent rehabilitation techniques to treat motor dysfunction. Neural Regeneration Research (2019).
16. Xiang, X. W., Zhu, J. Y., Sun, Y. B., et al. Clinical study of brain-computer interface rehabilitation training system for upper limb dysfunction in the recovery period of ischemic stroke. Chinese Journal of Medical Innovation (2020).
17. Zhang, M. H. The impact of brain-computer interface technology on upper limb and hand function of stroke patients with hemiplegia (Doctoral dissertation, Hebei Normal University) (2020).
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Biological Engineering and Medical Science
- ISBN (Print)
- 978-1-83558-215-2
- ISBN (Online)
- 978-1-83558-216-9
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/21/20230821
- 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