Research on noise suppression method of brain information perception system
Ying Liu, Tiange Hong, Shao-Qun Zhang, Yixue Dong, Xiaochuan Zhao · 2022
As a typical physiological electrical signal, EEG signal has several characteristics include weak at amplitude, low SNR(Signal-Noise Ratio), susceptible to interference, low frequency, narrow frequency range, strong randomness, etc.[1]. The interference of external electromagnetic signal may cause to a situation of degradation in signal quality, even leads to the failure of brain information perception system’s operation. Therefore, we need to analyze the electromagnetic environment’s characteristics during the process of brain information perception system acquisition and circumvent system’s disadvantages. In this paper, we analyzed the spectral characteristics of noise sources that affect brain information perception system, given several effective noise suppression methods.