Current Study on Dry and Wet Electrodes in the Field of Non-Invasive Brain-Computer Interface

DOI

10.2991/978-94-6463-518-8_64How to use a DOI?

Keywords

Wet Electrodes; Dry Electrodes; EEG Signal Processing; Non-invasive

Abstract

Brain-computer Interface (BCI) technology is an innovative field of technology that enables the human brain to communicate directly with computers or other electronic devices. This technology uses principles from neuroscience, computer science, and engineering to control external devices or software by interpreting electrical signals from the brain, without the use of traditional input devices such as keyboards and mice. This paper compares the principles and development trends of different electrodes in non-invasive brain-computer interface (BCI) systems, and discusses the advantages and disadvantages of dry electrodes and wet electrodes in the application of non-invasive BCI systems, aiming to improve system performance and optimize user experience. Wet and dry electrodes are key components for signal acquisition, and their physical properties, comfort level, and adaptability in different application scenarios directly affect the overall performance of BCI systems. Wet electrodes provide high-quality signals by enhancing skin-electrode contacts using conductive gels. However, dry electrodes are favored for ease of use, although they may face challenges in signal quality. Studying the performance impact of electrodes, is helpful in developing more efficient signal processing methods and improving the accuracy of BCI systems. The comprehensive analysis of wet and dry electrodes shows that each electrode type has its unique advantages and applicable scenarios. Future research should focus on addressing the limitations of existing electrodes through the use of new materials, design innovations, and the application of integrated circuit technology to optimize BCI technology to provide solutions that better match the needs of users.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanhao Ke
PY  - 2024
DA  - 2024/09/28
TI  - Current Study on Dry and Wet Electrodes in the Field of Non-Invasive Brain-Computer Interface
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 665
EP  - 674
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_64
DO  - 10.2991/978-94-6463-518-8_64
ID  - Ke2024
ER  -