Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 16, 04 December 2023


Open Access | Article

Brain-computer interface for the treatment of mental illness

Jiayi Li * 1
1 High School Attached To Shandong Normal University

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 16, 93-96
Published 04 December 2023. © 2023 The Author(s). Published by EWA Publishing
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.
Citation Jiayi Li. Brain-computer interface for the treatment of mental illness. TNS (2023) Vol. 16: 93-96. DOI: 10.54254/2753-8818/16/20240539.

Abstract

A brain-computer interface is a direct communication channel between the brain and external devices. Its signals come from the central nervous system, and its transmission is independent of the peripheral nervous and muscular systems. Brain-computer interface commonly used to assist, enhance, and repair human-motor sensations. Through the classification and recognition of Electroencephalogram (EEG) signals, the monitoring and rehabilitation of some neurological and psychological diseases can be realized. Brain-computer interfaces are currently in their infancy and are being explored. Non-invasive brain-computer interfaces refer to brain-computer interfaces that are performed in the cerebral cortex. Semi-invasive brain-computer interfaces are what the chip penetrates the cerebral cortex but does not penetrate the gray matter in the brain. An immersive brain-computer interface is when the chip penetrates the gray matter of the brain. At present, Brain-computer interfaces with chips implanted in the head are mainly located in the brain. Brain-computer interfaces located in the cerebellum, brainstem and other parts have not made significant breakthroughs. The brain-computer interface first collects signals transmitted by the brain, then sequences and encodes them . Finally, transfer them to the computer. The computer controls the robotic arm through the acquired signals and finally completes the instructions. This article focuses on invasive and semi-invasive brain-computer interfaces, using case studies, combinatorial studies, and other methods. This research can help patients live better, improve patients' quality of life, and promote future research in bioelectronics and organic electronics.

Keywords

Brain-Computer Interface, Mental Illness, Challenges Of Brain-Computer Interface, The Prospect Of Brain-Computer Interfaces

References

1. Liao, L. D., Lin, C. T., McDowell, K., Wickenden, A. E., Gramann, K., Jung, T. P., ... & Chang, J. Y. (2012). Biosensor technologies for augmented brain–computer interfaces in the next decades. Proceedings of the IEEE, 100(Special Centennial Issue), 1553-1566.

2. Patil, P. G., & Turner, D. A. (2008). The development of brain-machine interface neuroprosthetic devices. Neurotherapeutics, 5, 137-146.

3. Wu, N., Wan, S., Su, S., Huang, H., Dou, G., & Sun, L. (2021). Electrode materials for brain–machine interface: A review. InfoMat, 3(11), 1174-1194.

4. Zhang Zhe, Zhao Xu, Ma Yixin, Ding Peng, Nan Wenya, Gong Anmin, Fu Yunfa .Journal of biomedical engineering Ethical considerations for brain computer interface technology 2023, 40(2): 358-364. doi: 10.7507/1001-5515.202208058

5. Munavalli, J. R., Sankpal, P. R., Sumathi, A., & Oli, J. M. (2023). Introduction to Brain–Computer Interface: Applications and Challenges. Brain‐Computer Interface: Using Deep Learning Applications, 1-24.

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 2nd International Conference on Modern Medicine and Global Health
ISBN (Print)
978-1-83558-195-7
ISBN (Online)
978-1-83558-196-4
Published Date
04 December 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/16/20240539
Copyright
04 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

Copyright © 2023 EWA Publishing. Unless Otherwise Stated