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Could wearable sensors spot delirium before doctors do?

NCT ID NCT02465307

Knowledge-focused Sponsor: University of Florida Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 This study
Running, but no longer taking on new participants.
Completed
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 21, 2026 · Last updated Jul 22, 2026 · Updated 1 time

Summary

This study explores whether wearable accelerometers and cameras can automatically detect delirium in intensive care unit patients by tracking changes in movement and facial expressions. Delirium, a sudden state of confusion, often goes undetected despite being common in hospitalized patients. The research aims to see if this technology can reliably identify delirium, potentially enabling earlier intervention.

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 lead to an automated system that helps doctors detect and prevent delirium in hospital patients earlier.
What could go wrong
This is a small pilot study focused on feasibility, so the technology may not prove accurate enough for real-world use.

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

About 130 people

The number the study aims to enrol. It can still change while the study runs.

Started

Feb 2016

Expected to finish

May 2028

An estimate. End dates often move.

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

ICU Patients: Patients who been hospitalized in an intensive care unit and have risk factors to develop delirium or delirium has been suspected by their medical provider. Healthy Controls: People who are healthy and sleep in their home environment.

Ages

18 years and older

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 (ICU Patients): * Intensive care unit patient * 18 years of age or older Exclusion Criteria (ICU Patients): * Anticipated intensive care unit stay less than one day * Less than 18 years of age * Inability to wear a motion sensor watch (ActiGraph) Inclusion Criteria (Healthy Controls): * 18 years of age or older. * sleeps in home environment Exclusion Criteria (Healthy Controls): * does not sleep in home environment * Less than 18 years of age * Inability to wear a motion sensor watch (ActiGraph)

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Conditions

The condition(s) this trial relates to.

Confusion delirium Facial Expression

As listed by the trial registrant

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

Confusion Delirium

Contacts and locations

Locations

  • UF Health

    Gainesville, Florida, 32610, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.