Brain–computer interface

Mental practice of upper limb movement and visual feedback could help improve physical rehabilitation among stroke patients.

A machine learning technique developed by A*STAR scientists could help patients with locked-in syndrome communicate via brain-machine interfaces.

A
new method for reading brain waves improves the usefulness of motor imagery
exercises

Robotic therapy works better
if stroke patients’ brains are stimulated by electricity

A new A*STAR collaboration offers an ideal environment to bridge the brain–computer divide for rehabilitation therapy