The invention provides an electroencephalogram
signal artifact removing method and device, equipment and a medium, and relates to the technical field of
biological signal processing, collected electroencephalogram
signal data is processed to obtain an optimal
modal number and an optimal bandwidth parameter, and the optimal
modal number and the optimal bandwidth parameter are used for conducting self-adaptive
variational mode decomposition on the electroencephalogram
signal data to obtain a plurality of
modal components; then carrying out multi-dimensional feature analysis to obtain a plurality of feature indexes for judging an artifact suspicion mode and an effective mode component; performing short-time
Fourier transform on the artifact suspicion mode, and constructing a time-frequency
confidence map to guide weighted time-frequency independent
component separation on the artifact suspicion mode to obtain an artifact component; suppressing the artifact component to obtain a suppressed independent component, and performing weighted reconstruction and multi-component fusion on the suppressed independent component and the effective modal component based on the time-frequency
confidence map to obtain an artifact-removed electroencephalogram signal; and the fidelity, the robustness and the real-time performance of the electroencephalogram signal are improved.