Provided are a wavelet analysis-based brain electrical signal denoising method, a storage medium and a device. The method comprises: acquiring a brain electrical signal, and decomposing, by means of wavelet analysis, the brain electrical signal into a plurality of sampled data (S10); adding neighborhood windows to all the sampled data, and determining, by means of similarity, the weighting value of each sampled data in the neighborhood window where the sampled data is located (S20); and filtering each sampled data according to the weighting value, and combining the filtered sampled data to obtain a denoised brain electrical signal (S30). The method obtains the overall distribution weight of the signal in the neighboring windows of the sampled data, and performs comparison and screening according to the overall distribution weight, maintaining the stability of the denoising method, and enabling the reconstructed signal to better retain the detailed features of the signal.
WAVELET ANALYSIS-BASED BRAIN ELECTRICAL SIGNAL DENOISING METHOD, STORAGE MEDIUM AND DEVICE