Brain Computer Interface Robotic Rehabilitation for Stroke

The technology focuses mainly on rehabilitation by motor intent to drive robotic movement therapy for motor impaired stroke patients. It employs a novel method to construct a patient specific motor imagery mental state detection model. Hence the technology adapts to the patients EEG signal and eliminates the need for patients to learn how to operate the Brain Computer Interface (BCI) rehabilitation system.

In addition, the system performs psychological rehabilitation by adapting the rehabilitation therapy based on level of emotion detected. The technology is also more accurate in motor imagery (MI) mental state detection than existing technologies.

Technology addresses inter-subject variability of EEG data. Clinical trial performed on 16 healthy subjects and 54 stroke
affected patients. Results demonstrated the patients are capable of operating MI-BCI as effectively as healthy subjects, and the capability of the patients is not correlated to their level of motor impairment. Results showed EEG-based MI-BCI with robotic feedback is effective in restoring upper extremities motor function in stroke. On-going research in Advanced rehabiliative therapy for stroke based on BCI (ArtsBCI) currently undergoing clinical trial.