Brain-computer interface control method, device and equipment of mechanical arm

The invention relates to a brain-computer interface control method, device and equipment of a mechanical arm. The brain-computer interface control method of the mechanical arm comprises the following steps of acquiring multi-channel electroencephalogram signals; performing preprocessing on the electroencephalogram signals of each channel to obtain signal features in six directions in a three-dimensional space; calculating a power spectrum for each signal feature, calculating a power spectrum feature of a corresponding preset frequency band according to the power spectrum, and taking the power spectrum feature as a frequency domain feature; performing sliding window convolution on each signal feature to obtain a time domain feature; splicing the frequency domain feature and the time domain feature of each channel to obtain a feature result; and inputting the obtained multi-channel feature result into a pre-trained decoding model to obtain the movement speed of the mechanical arm in the three directions in the