The brain‐computer interface (BCI) uses electrical signals from the brain and uses them as information to control an external device and has the potential to stimulate neuroplasticity in motor impairment. Objective. Implement an immersive virtual reality and BCI system for upper limb rehabilitation and test its safety. Methods: 34 healthy subjects participated. We used an EEG of 16 channels placed on the scalp corresponding to the motor and pre‐motor area, an amplifier (g.USBAmp) and a signal classification method (ANFIS classifier), to detect mu and beta signals related to the intention of movement and used to control an immersive virtual reality representation of an upper limb; and perform 2 movements: flexion and extension, according to the brain signals detected. In addition, the classification percentages and their association with spatial abilities of participants were measured...