Cognitive Neurodynamics, 2022 · DOI: https://doi.org/10.1007/s11571-022-09801-6 · Published: April 10, 2022
This study introduces a brain-computer interface (BCI) system combined with a lower-limb robot to help patients with spinal cord injuries (SCI) regain motor function through short-term training. The system uses EEG signals related to motor intentions to drive the robot, providing bidirectional stimulation (descending motor control and ascending sensory signals) to the SCI area, which enhances training effectiveness. The system includes a decision tree to determine the appropriate training mode for patients with varying degrees of injury, ensuring tailored rehabilitation.
BCI systems combined with robotics can provide a more effective means of rehabilitation for SCI patients.
Adaptive training modes, guided by a decision tree, can cater to individual patient needs, maximizing therapeutic impact.
Short-term training with bidirectional stimulation shows the potential to improve motor function and neurological status in SCI patients.