AI reads Kids' body signals to personalize rehab
NCT ID NCT06993389
First seen Mar 04, 2026 · Last updated May 13, 2026 · Updated 13 times
Summary
This study aims to see if heart activity, sweat responses, and movement data can help predict how well children with movement difficulties engage with their rehabilitation sessions. Forty children aged 5 to 17 will take part—half with typical development and half with neuromotor impairments. During therapy, sensors and questionnaires will track engagement, and researchers will use AI to find patterns that could help therapists tailor each session in real time.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Email: •••••@•••••
Locations
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Scientific Institute IRCCS E.Medea
RECRUITINGBosisio Parini, LC, 23842, Italy
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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