AI reads Kids' body signals to personalize rehab therapy
NCT ID NCT06993389
First seen Mar 04, 2026 · Last updated May 18, 2026 · Updated 14 times
Summary
This study aims to see if data from heart activity, sweat responses, and movement can help predict how children with movement problems engage in therapy. Forty children aged 5 to 17 will take part, half with typical development and half with neuromotor impairments. They will use robotic or virtual-reality rehab systems while researchers collect signals and therapist feedback. The goal is to use AI to help therapists adjust sessions in real time for more personalized care.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Scientific Institute IRCCS E.Medea
RECRUITINGBosisio Parini, LC, 23842, Italy
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