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AI reads Kids' body signals to improve rehab sessions

NCT ID NCT06993389

Knowledge-focused Sponsor: IRCCS Eugenio Medea Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether an AI model could predict how children with movement problems engage with rehabilitation. Researchers collected heart activity, sweat response, and movement data from 31 children during therapy sessions. The goal is to help therapists adjust treatments in real-time for better, more personalized care.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could help therapists personalize rehabilitation sessions in real-time for children with movement difficulties.
What could go wrong
This is a small, completed observational study with only 31 participants. The AI model needs further testing in larger trials before it can be used in clinics.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

31 people

The number who actually took part.

Started

Jun 2025

Finished

Dec 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Potentially eligible participants will be selected from clinical databases of IRCCS Medea.

Ages

5 to 17 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Subjects aged between 5 and 17 with typical development. * Subjects aged between 5 and 17 years with neuromotor impairments who are undergoing rehabilitation therapy using the Lokomat and GRAIL devices, according to the existing clinical plan. Exclusion Criteria: * Uncooperative subjects.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Neuromotor impairments

Contacts and locations

Locations

  • Scientific Institute IRCCS E.Medea

    Bosisio Parini, LC, 23842, Italy

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