Smart-home sensors and AI to detect dementia-related daily activities
Remote Sensing for ADRD-Specific Activities Identification in Older Adults
NA · University of Missouri-Columbia · NCT07120347
This project will try smart-home sensors and artificial intelligence to detect daily activities linked to mild cognitive impairment or early dementia in adults aged 50 and older who live at home.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 16 (estimated) |
| Ages | 50 Years and up |
| Sex | All |
| Sponsor | University of Missouri-Columbia (other) |
| Locations | 1 site (Columbia, Missouri) |
| Trial ID | NCT07120347 on ClinicalTrials.gov |
What this trial studies
The team will install a modular remote ambient sensor system in participants' homes and collect real-time data on movement, activity patterns, and environmental cues. AI-based data-analysis methods will be used to identify activities and patterns specific to Alzheimer disease and related dementias. Participants are community-dwelling, English-speaking adults aged 50 or older with a clinician-confirmed diagnosis of mild cognitive impairment or mild dementia from the University of Missouri system. The goal is earlier detection of functional change and to generate information that could support personalized in-home assistance.
Who should consider this trial
Good fit: Ideal candidates are English-speaking adults aged 50 or older, living at home, with a diagnosis of mild cognitive impairment or mild dementia confirmed by a neuropsychologist, neurologist, or geriatrician within the University of Missouri Healthcare System.
Not a fit: Patients with moderate or severe dementia (Clinical Dementia Rating > 1), or those with cognitive or functional impairments that prevent meaningful participation in daily activities, are unlikely to benefit from this protocol.
Why it matters
Potential benefit: If successful, this approach could detect changes in daily function earlier and help tailor support so people with MCI or mild ADRD stay safer and more independent at home.
How similar studies have performed: Prior small-scale research using home sensors and AI has shown promising signals for monitoring activity changes, but broad real-world effectiveness and adoption among people with ADRD remain limited.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria * Community-dwelling, English-speaking adults aged ≥ 50 years * Clinical diagnosis of mild cognitive impairment or mild dementia (ADRD) * Diagnosis established by a neuropsychologist, neurologist, or geriatrician within the University of Missouri Healthcare System * Diagnosis confirmed using the latest consensus criteria and verified through record review * No restriction on the etiology of the cognitive disorder (e.g., Alzheimer's disease, vascular dementia, mixed dementia) Exclusion Criteria * Clinical Dementia Rating (CDR) global score \> 1 (moderate or severe dementia) * Cognitive or functional impairments that would preclude meaningful participation in daily activities
Where this trial is running
Columbia, Missouri
- University of Missouri — Columbia, Missouri, United States (RECRUITING)
Study contacts
- Study coordinator: Knoo Lee, PhD
- Email: knoolee@missouri.edu
- Phone: 5738840421
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Alzheimer Disease and Related Dementias, Mild Cognitive Impairment