Steady-state visual evoked potential analysis method, system and equipment

The invention provides a steady-state visual evoked potential analysis method, system and device, and relates to the field of SSVEP analysis, the method comprises the following steps: acquiring a multi-channel electroencephalogram signal, and preprocessing the multi-channel electroencephalogram signal to generate an SSVEP signal; extracting time domain features of the SSVEP signal according to a time domain feature extraction module; extracting a frequency domain feature of the SSVEP signal according to a frequency domain feature extraction module; fusing the time domain feature and the frequency domain feature to generate a time-frequency fusion feature; enabling the time-frequency fusion features to pass through an attention mechanism module, and generating a weighted loss function represented by a group of feature weights and deep features; based on the weighted loss function, inputting the deep features into a binary classifier, and outputting an SSVEP classification result; the number of the binary class