To develop a neurorehabilitation system to treat stroke hemiplegia, we adopted Learning Fuzzy Template Matching and aimed to detect motor intention signals in electroencephalogic signals. Signals transmitted to the device were able to achieve hybrid control sufficient to move the lower leg. Such systems allow rapid rehabilitation using brainwaves with ease.