Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

Research and Design of Low Power Amplifier for Brain Computer Interface

Authors
Tianxing Huang1, *
1Suzhou Institute of Technology, School of Electronic Information Engineering, Jiangsu, China
*Corresponding author. Email: 18969903998@163.com Email: 052922128@szut.edu.cn
Corresponding Author
Tianxing Huang
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_92How to use a DOI?
Keywords
Low Power Amplifier; Brain-Computer Interface (BCI); Transimpedance Amplifier (TIA); Active Feedback Mechanism; Power Consumption Optimization
Abstract

Brain-computer interface (BCI) technology realizes human-computer interaction through direct analysis of neural signals, and has strong application potential in the field of medical rehabilitation and intelligent equipment. However, the high power consumption characteristics of traditional front-end amplifiers limit the stability of BCI systems under long-term implantation. In this paper, two design methods of low power amplifier are proposed: inverter common source common gate transresistance amplifier based on active common leakage feedback mechanism, and current multiplexing chopper amplifier. The former realizes high gain and wide bandwidth under low power consumption through dynamic adjustment of active device bias and topology collaborative optimization. The latter combines dynamic bias optimization and chopper modulation with vertically stacked complementary inverter technology to significantly reduce noise and improve signal integrity. Simulation results show that the proposed design is superior to the traditional architecture in terms of gain, bandwidth and noise performance, while greatly reducing static power consumption. This paper provides an effective solution for the miniaturization and low power consumption of BCI system, verifies the feasibility of multi-objective collaborative optimization technology in bioelectrical signal processing, and lays a technical foundation for the future development of implantable medical devices and high-performance brain-computer interfaces.

Copyright
© 2025 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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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_92How to use a DOI?
Copyright
© 2025 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.

Cite this article

TY  - CONF
AU  - Tianxing Huang
PY  - 2025
DA  - 2025/08/31
TI  - Research and Design of Low Power Amplifier for Brain Computer Interface
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 959
EP  - 967
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_92
DO  - 10.2991/978-94-6463-821-9_92
ID  - Huang2025
ER  -