Study of Hardware Direction of EEG Acquisition Device in BCI

Chen Liu

2025

Abstract

Brain-computer interface (BCI) has been the focus of research all over the world and is an important way for the human brain to interact with external devices. Electroencephalogram (EEG) acquisition device, as the main way to collect EEG signals, is an indispensable part of this field. The research results of various countries and companies in related fields are endless, and there is a wide range of application space in various fields in the future. At present, the main composition of EEG acquisition devices has tended to be stable, but there are still shortcomings in portability, accuracy, and stability in function and performance. In order to clarify the general situation of the current EEG acquisition device and the main research direction in the future, this paper will divide its overall structure into electrical signal acquisition sensor, which includes seven parts: pre-processing circuit including filter and signal amplification circuit, analog-to-digital converter, signal processing unit, data storage module, data transmission interface and power management module for analysis and description. At the same time, the current, more advanced products, the shortcomings of current research, and the direction of optimization are described and analyzed, and finally, the development trend is prospected.

Paper Citation

in Harvard Style

Liu C. (2025). Study of Hardware Direction of EEG Acquisition Device in BCI. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 98-103. DOI: 10.5220/0013679300004670

in Bibtex Style

@conference{icdse25,
author={Chen Liu},
title={Study of Hardware Direction of EEG Acquisition Device in BCI},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013679300004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Study of Hardware Direction of EEG Acquisition Device in BCI
SN - 978-989-758-765-8
AU - Liu C.
PY - 2025
SP - 98
EP - 103
DO - 10.5220/0013679300004670
PB - SciTePress