Clinical and Instrumental Treatment's Predictors in Subjects With Neurological Diseases Using G-EO Robotic System: an Observational Longitudinal Study
The aim of this work is to elaborate a statistical model to predict the effectiveness of robotic treatment in subjects with neurological diseases. The model will be used to understand which subjects are most responsive to this type of treatment
• Diagnosis of Multiple Sclerosis, Parkinson Disease, Stroke or acquired brain injury
• Minimum number of sessions: 10 sessions with the GEO system
• Minimum frequency of sessions: 2 per week
• Age ≥ 18 years
• Ability to walk for at least 10 meters, also with aid
• Indication of robotic treatment in the therapeutic plan
• Body size suitable for the robotic device
• ability to maintain verticality for 7 minutes;
• ability to maintain the sitting position without support for 30 seconds;