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AI-based Model for Rehabilitation Engagement and Motor Performance Evaluation in Pediatric Patients: A Pilot Study
Sponsor: IRCCS Eugenio Medea
Summary
What is the purpose of this study? This study aims to evaluate the usability and feasibility of an artificial intelligence-based model designed to monitor in real-time the engagement and motor performance of pediatric patients during technology-assisted rehabilitation. Who can take part? 15 participants between 5 and 17 years old with neuromotor impairments will take part, along with at least 5 of their referring physiotherapists. What will happen in the study? Each pediatric patient will take part in a single, 1-hour rehabilitation session using either the Lokomat or GRAIL system, according to their standard clinical prescription. During the session, the physiotherapist will have access to a display showing real-time data from the AI model, including the patient's heart rate, engagement level, pleasantness, activation, and motor performance. At the end of the session, the physiotherapist will complete a System Usability Scale (SUS) questionnaire and provide direct feedback on how to improve the model. Why is this study important? Assessing the usability of this real-time monitoring tool is a necessary step to understand if it is practical for clinical use. Providing therapists with objective, real-time insights into a child's psychological and physical state can ultimately help tailor therapy to the specific needs of each patient, improving the overall rehabilitation experience.
Official title: AI-based Model for Rehabilitation Engagement and Motor Performance Evaluation in Pediatric Patients
Key Details
Gender
All
Age Range
5 Years - 17 Years
Study Type
INTERVENTIONAL
Enrollment
15
Start Date
2026-06-15
Completion Date
2026-09-30
Last Updated
2026-06-23
Healthy Volunteers
No
Conditions
Interventions
Artificial Intelligence Model for Rehabilitation Engagement Monitoring
The intervention consists of the deployment of a real-time AI-based monitoring system during a standard technology-assisted rehabilitation session. The physiotherapist is provided with a display showing continuous feedback on the patient's engagement levels, emotional state (pleasantness and activation), motor performance, and heart rate. The model processes physiological and inertial data collected via wearable sensors, acting purely as an observational support tool without altering the standard rehabilitation protocol.
Locations (1)
Scientific Institute IRCCS E.Medea
Bosisio Parini, Italy