Application of brain-computer interface in rehabilitation medicine

Research Article
Open access

Application of brain-computer interface in rehabilitation medicine

Yizhuo Zheng 1*
  • 1 Beijing Bayi school international department    
  • *corresponding author zhyzh_2675@163.com
Published on 20 December 2023 | https://doi.org/10.54254/2753-8818/21/20230854
TNS Vol.21
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-83558-215-2
ISBN (Online): 978-1-83558-216-9

Abstract

A brain-computer interface (BCI) can realize the communication and control between the human brain and computers or other electrical equipment by electroencephalography. It is a novel kind of human2computer interface. BCIs will be applied in rehabilitation, control, and other fields. This paper introduces the working principle of BCIs. Some key techniques to design BCIs are discussed from these aspects: signal processing, device control methods, and signal feedback. Besides, the application of BCI in rehabilitation medicine is also discussed. Finally, some main problems and future trends are pointed out. The discussions have guiding values to the design and research of BCI.

Keywords:

BCI, computer science, electromechanical prosthesis, bioengineering, non-invasive.

Zheng,Y. (2023). Application of brain-computer interface in rehabilitation medicine. Theoretical and Natural Science,21,146-150.
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References

[1]. Ju Fen, Zhao Chenguang, Yuan Hua, et al. Application progress of brain-computer interface in rehabilitation medicine [J]. China Rehabilitation,2017(6):508-511. (in Chinese)

[2]. Yang Bang-Hua, Yan Guo-Zheng, Ding Guo-Qing, & Yu Lian-Zhi. (2005). Research on Key Technologies of brain-computer interface (Doctoral dissertation).

[3]. XU Bao-guo;SONG Ai-guo;FEI Shu-min. Feature Extraction and Classification of EEG in Online Brain-Computer Interface[J]. Acta Electronica Sinica, 2011, 39(5): 1025-1030

[4]. Qiu Shuang,Yang Banghua,Chen Xiaogang,Wang Yijun,Xu Minpeng,Lu Bao-Liang,Gao Xiaorong,He Huiguang(Institute of Automation, Chinese Academy of Sciences)

[5]. Yang Banghua, Liu Li, Lu Wenyu, et al. Design of brain-computer interactive feedback system based on virtual reality technology [J]. Beijing Biomedical Engineering,2011(4):401-404.

[6]. Ping Yao. Research on Hybrid Brain-Computer Interface Based on Neurofeedback [D]. Tianjin University of Technology, 2020.

[7]. Wu Y, & Lu R R. (2009). Advances in the application of brain-computer interface technology in rehabilitation medicine. Collection of papers from the 10th National Sports Therapy Conference and "May 12" Rehabilitation Medicine International Forum of Chinese Rehabilitation Medical Association.

[8]. Marcia A. Bockbrader, Gerard Francisco, Ray Lee, Jared Olson, Ryan Solinsky, Michael L. Boninger, Brain-Computer Interfaces in Rehabilitation Medicine, PM&R, Volume 10, Issue 9, Supplement 2,2018, Pages S233-S243

[9]. Li Yao-nan, Zhang Xiao-Dong, & Wang Yun-xia. (2011). Research on the neural prosthetic hand system driven by a brain-computer interface. Chinese Journal of Medical Equipment, 26(4), 5-8.

[10]. Wang Xingyu, Jin Jing, Zhang Yu, & Wang Bei. (2013). Brain Control: Human-computer integration control based on brain-computer interface. Acta Automatica Sinica, 39(3), 208-221.

[11]. Chen Chao, Ping Yao, Hao Bin, Xu Rui. Modeling, simulation, and implementation of writing System based on brain-computer Interface technology [J]. Journal of System Simulation, 2018, 30(12): 4499-4505.


Cite this article

Zheng,Y. (2023). Application of brain-computer interface in rehabilitation medicine. Theoretical and Natural Science,21,146-150.

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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About volume

Volume title: Proceedings of the 3rd International Conference on Biological Engineering and Medical Science

ISBN:978-1-83558-215-2(Print) / 978-1-83558-216-9(Online)
Editor:Alan Wang
Conference website: https://www.icbiomed.org/
Conference date: 2 September 2023
Series: Theoretical and Natural Science
Volume number: Vol.21
ISSN:2753-8818(Print) / 2753-8826(Online)

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References

[1]. Ju Fen, Zhao Chenguang, Yuan Hua, et al. Application progress of brain-computer interface in rehabilitation medicine [J]. China Rehabilitation,2017(6):508-511. (in Chinese)

[2]. Yang Bang-Hua, Yan Guo-Zheng, Ding Guo-Qing, & Yu Lian-Zhi. (2005). Research on Key Technologies of brain-computer interface (Doctoral dissertation).

[3]. XU Bao-guo;SONG Ai-guo;FEI Shu-min. Feature Extraction and Classification of EEG in Online Brain-Computer Interface[J]. Acta Electronica Sinica, 2011, 39(5): 1025-1030

[4]. Qiu Shuang,Yang Banghua,Chen Xiaogang,Wang Yijun,Xu Minpeng,Lu Bao-Liang,Gao Xiaorong,He Huiguang(Institute of Automation, Chinese Academy of Sciences)

[5]. Yang Banghua, Liu Li, Lu Wenyu, et al. Design of brain-computer interactive feedback system based on virtual reality technology [J]. Beijing Biomedical Engineering,2011(4):401-404.

[6]. Ping Yao. Research on Hybrid Brain-Computer Interface Based on Neurofeedback [D]. Tianjin University of Technology, 2020.

[7]. Wu Y, & Lu R R. (2009). Advances in the application of brain-computer interface technology in rehabilitation medicine. Collection of papers from the 10th National Sports Therapy Conference and "May 12" Rehabilitation Medicine International Forum of Chinese Rehabilitation Medical Association.

[8]. Marcia A. Bockbrader, Gerard Francisco, Ray Lee, Jared Olson, Ryan Solinsky, Michael L. Boninger, Brain-Computer Interfaces in Rehabilitation Medicine, PM&R, Volume 10, Issue 9, Supplement 2,2018, Pages S233-S243

[9]. Li Yao-nan, Zhang Xiao-Dong, & Wang Yun-xia. (2011). Research on the neural prosthetic hand system driven by a brain-computer interface. Chinese Journal of Medical Equipment, 26(4), 5-8.

[10]. Wang Xingyu, Jin Jing, Zhang Yu, & Wang Bei. (2013). Brain Control: Human-computer integration control based on brain-computer interface. Acta Automatica Sinica, 39(3), 208-221.

[11]. Chen Chao, Ping Yao, Hao Bin, Xu Rui. Modeling, simulation, and implementation of writing System based on brain-computer Interface technology [J]. Journal of System Simulation, 2018, 30(12): 4499-4505.