Observational Study on Predicting Success of Robotic Gait Training Using the G-EO System in Adults with Neurological Diseases

What this Trial Is About

Researchers are studying neurological diseases including Multiple Sclerosis, Parkinson Disease, Stroke, and acquired brain injury to understand which patients respond best to robotic-assisted gait training using the G-EO system. This study aims to develop a statistical model predicting treatment effectiveness based on patient and treatment characteristics. The goal is to identify variables that can forecast the success of this rehabilitation method. Participants will receive robotic-assisted gait training with the G-EO system, a device that guides foot movement to assist balance and walking. The treatment plan includes a minimum of 10 sessions at least twice per week. Clinical and instrumental parameters, such as session number, frequency, step length, cadence, and body weight support, will be recorded along with patient data like age, disease duration, and comorbidities to build the predictive model. Participants will be evaluated before treatment baseline and monitored through the treatment period and follow-up. Assessments include gait speed changes, trunk control, mobility, strength, walking endurance, balance confidence, cognitive function, and other measures. The primary outcome is the change in gait speed from baseline to the end of treatment and after two months. Data collection includes clinical scores and instrument-based gait indexes to understand treatment impact and safety throughout the study.

Clinical and Instrumental Treatment's Predictors in Subjects With Neurological Diseases Using G-EO Robotic System