Enhanced Rehabilitation Outcomes of Robotic-Assisted Gait Training with EksoNR Lower Extremity Exoskeleton in 19 Stroke Patients.

Abstract

BACKGROUND Stroke is a leading cause of long-term disability, often resulting in impaired mobility and gait abnormalities, necessitating effective rehabilitation approaches. Robotic-assisted gait training (RAGT) offers precise control and intensive, task-specific training. The EksoNR exoskeleton shows potential in facilitating gait recovery. This study assesses the efficacy and tolerability of RAGT using EksoNR in the rehabilitation of 19 stroke patients. MATERIAL AND METHODS A prospective nonrandomized, observational study design was employed with a single group convenience sample. The study included 19 individuals post-stroke, who underwent a 4-week rehabilitation program. Baseline and post-rehabilitation assessments were conducted using selected International Classification of Functioning, Disability and Health (ICF) codes, gait exoskeleton parameters (number of steps, walking time, time of verticalization) obtained during the exoskeleton sessions, and the Timed Up and Go Test (TUG). RESULTS The study revealed statistically significant improvements in all analyzed ICF categories, except for D530 Toileting, indicating enhanced functioning. The most notable improvements in activity and participation were observed in the categories of D410 Changing basic body position (-0.84±0.60) and D450 Walking (-0.84±0.60). Additionally, gait analysis demonstrated significant enhancements in the number of steps (difference of 506.79±252.49), walking time (13.02±7.91), and time of verticalization (11.82±9.21) (p>0.001). The TUG test also showed a statistically significant improvement in mobility (p=0.005). CONCLUSIONS This study supports previous findings, demonstrating that RAGT using the EksoNR lower extremity exoskeleton improves gait and functional status in stroke patients, while being well tolerated. The results highlight the potential of this approach for improved rehabilitation outcomes.