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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
42
Powered lower-limb exoskeleton gait training, twice weekly for 4 weeks. Each session included sit-to-stand, walking, and stand-to-sit phases. Phase transitions were triggered externally by a trained study assistant. No EEG decoding was used.
Same exoskeleton training schedule and phases. Each session began with a 6-minute EEG decoder calibration (theta, movement-related cortical potential, alpha). Each phase transition was triggered in a closed loop by the participant's decoded intent.
Taichung Veterans General Hospital
Taichung, Taiwan
Change in 6-Minute Walk Test (6MWT) distance
Distance walked in 6 minutes along a flat 30-meter indoor corridor, recorded in meters. Participants were instructed to cover as much distance as possible. The same corridor was used for all assessments at both time points. Greater distance indicates better walking capacity.
Time frame: Baseline and 4 weeks (immediately before and after the 4-week training program)
Change in SF-12 Physical Component Summary (PCS) score
Physical component summary score of the 12-item Short Form Health Survey. Scores are norm-based to a population mean of 50 with a standard deviation of 10. Higher scores indicate better physical health-related quality of life.
Time frame: Baseline and 4 weeks (immediately before and after the 4-week training program)
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