The invention relates to a visual image reconstruction
system based on a brain-computer interface, and the
system comprises an image collection and
processing module which is used for collecting an external visual image, carrying out the preprocessing of the visual image, and extracting visual features; the electrical stimulation control module is used for converting the visual features into electrical stimulation instructions including
electrode channel selection, current intensity, stimulation
time sequence and polarity matching; the flexible
electrode module is used for receiving the electrical stimulation instruction and controlling a corresponding flexible
electrode to stimulate neurons to induce
visual perception; and the
feedback regulation module is used for monitoring the response
voltage of the flexible electrode of each channel, if the impedance of the flexible electrode of any channel is monitored to be increased, the information of the flexible electrode of the corresponding channel is sent to the electrical stimulation control module, and the electrical stimulation control module automatically regulates the
voltage of the corresponding flexible electrode to ensure
constant current stimulation. According to the invention, the response
voltage of the flexible electrode of each channel is monitored through the feedback adjustment module,
constant current stimulation is ensured, and the
visual experience is optimized.