Research on the method of noise interference in brain information perception system

Tiange Hong; Ying Liu; Xiaochuan Zhao; Leiming Jin; Yunduo Feng

doi:10.1117/12.3038664

23 August 2024 Research on the method of noise interference in brain information perception system

Tiange Hong, Ying Liu, Xiaochuan Zhao, Leiming Jin, Yunduo Feng

Proceedings Volume 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024); 132501M (2024) https://doi.org/10.1117/12.3038664
Event: 4th International Conference on Image Processing and Intelligent Control (IPIC 2024), 2024, Kuala Lumpur, Malaysia

Abstract

As an important hardware component in the process of EEG recognition, the brain information perception system undertakes the functions of accurate EEG signal acquisition, amplification, conversion, transmission and recognition. As the EEG signal shows the characteristics of weak in amplitude, low SNR, low frequency range and strong randomness, it can be easily affected by electromagnetic interference in the environment. Thus leads to a decrease in accuracy. Therefore, the interference sources that interfere with the brain information perception process are sorted out, the simulation is carried out for different objective factors, in order to explore the influence of electromagnetic interference in the environment on the brain information perception system. Finally, we provide reference and ideas for the interference of the brain information perception system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tiange Hong, Ying Liu, Xiaochuan Zhao, Leiming Jin, and Yunduo Feng "Research on the method of noise interference in brain information perception system", Proc. SPIE 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 132501M (23 August 2024); https://doi.org/10.1117/12.3038664

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KEYWORDS

Electromagnetic coupling

Brain

Electroencephalography

Electrodes

Head

Interference (communication)

3D modeling

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