Abstract: Brain-computer interface(BCI)refers to the creation of a direct connection between the human brain and an external device to realize the exchange of information between the brain and the device. There are different methods clinicians can use to monitor brain activity, and electroencephalogram(EEG)has been used as the most common method to measure brain activity, with high temporal resolution, portability, and ease of use. For people with severe movement disorders, brain-computer interfaces become a viable human-machine interface that allows these patients to interact with the outside world, helping to improve their quality of life. It is different from the traditional way of rehabilitation and can fully mobilize the patient's enthusiasm for training. This paper reviews the recent research results and EEG data sets in the field of brain-computer interface, hoping to promote the development of stroke rehabilitation in neuroscience.

Key words: brain-computer interface, electroencephalogram, datasets, stroke, motor imagery