Comparison of the Therapeutic Effects Between Traditional and Brain-Computer Interface-Controlled Exoskeleton Gait Training in Post-Stroke Patients: A Randomized Comparative Study

After a stroke, many people have trouble walking. One way to practice walking again is with a wearable robot, called an exoskeleton, that supports the legs and guides them through a walking pattern. In most systems, a therapist or a sensor decides when each step starts.

This study looked at whether it helps to let a person's own brain activity start each step instead. Sensors placed on the scalp recorded brain signals. A computer read these signals and told the robot when to take a step. This way of controlling a device is called a brain-computer interface.

People who had a stroke within the past year took part. They were placed by chance into one of two groups. One group practiced walking with the robot in the usual way. The other group practiced with the robot controlled by their own brain signals. Both groups trained twice a week for 4 weeks.

Before and after the training, the study team measured how far each person could walk in 6 minutes, how long it took to stand up and walk a short distance and sit down again, how strong the knee muscles were, and how each person rated their own health and well-being. The study compared how much the two groups improved.