Translational Neuroscience, 2023 · DOI: https://doi.org/10.1515/tnsci-2022-0320 · Published: October 7, 2023
Spinal cord injury (SCI) often leads to walking difficulties. This study explores using lower limb rehabilitation robots (LLRR) combined with data science to help patients recover their walking ability. The LLRR imitates and assists limb movements, aiming to relieve pain, enhance muscle strength, and promote rehabilitation. The robot offers both passive and active training modes. The study found that patients using the LLRR (Group B) showed greater improvement in walking ability compared to those receiving conventional rehabilitation training (Group A), suggesting the robot's effectiveness.
LLRR training can lead to significantly better outcomes in walking ability, balance, and motor function for SCI patients compared to conventional methods.
By restoring walking ability, LLRRs can improve patients’ sense of space, attention, execution, and memory and greatly accelerating the recovery of patients’ walking ability.
Rehabilitation robots can provide long-term and stable training for patients, and objectively evaluate the results of RT, thereby reducing the workload of rehabilitation trainers and improving work efficiency.