Remote Sensing for ADRD-Specific Activities Identification in Older Adults

Part of paid clinical trials in Columbia, Missouri.

Sponsor
University of Missouri-Columbia
Study ID
NCT07120347
Status
Recruiting
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Conditions

  • Alzheimer Disease and Related Dementias (ADRD)
  • Mild Cognitive Impairment (MCI)

Eligibility Criteria

Sex
ALL
Age
50 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • Remote Ambient Sensor System — OTHER
    Remote sensors (motion, door contact) deployed in participants' home connected through raspberry pi and mobile hotspot

Study Details

The investigators aim to use smart-home sensors and artificial intelligence (AI) to monitor and detect Alzheimer's Disease and Related Dementias (ADRD)-specific daily activities among older adults, with the goal of early symptom detection and personalized support. Dementia, which impacts memory and cognition, remains a global concern. In the United States, more than 6.7 million individuals aged 65 and older are living with ADRD, and projected annual healthcare costs are expected to reach $1 trillion by 2050. This underscores the need for deeper understanding and innovative support. To address the unique challenges associated with ADRD, such as cognitive decline, personalized strategies that promote independent well-being are essential. Smart-home sensors can support older adults with ADRD as they continue to live in their homes. These sensors provide real-time data on health and daily activities, offering insights into their daily lives. However, adoption of these technologies is low, and the practical application of AI remains limited. This highlights the need for further research to make these devices more accessible to this population. The investigators' aims include: Conducting focus groups with individuals with and without ADRD and their caregivers to identify daily activities that can be measured using in-home sensors; Collecting in-home sensor data from older adults with and without ADRD; and Using AI to develop a tool for recognizing daily activities. The integration of smart-home sensors with advanced data-analysis techniques holds significant potential for transforming the support and care provided to individuals with ADRD. Ultimately, the investigators' findings will contribute to improving the quality of life for affected individuals and alleviating the burden on caregivers and healthcare systems.

Key Dates

Start date
Aug 1, 2024
Status verified
May 2025
Primary completion
Jul 31, 2026
Completion
Jul 31, 2027

Study Design

Enrollment
16 participants (estimated)
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE

Arms

  • Experimental: Pariticpants w/ ADRD
  • Active Comparator: Participants w/o ADRD

Primary Outcome Measure

Classification accuracy of ambient sensor-based daily activity models [ Time Frame: Weeks 1-4 after enrollment ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University of MissouriColumbiaMissouri65211
Knoo Lee, PhD
[email protected]
5738840421

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By research site
University of Missouri· Columbia, MO

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