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Autonomous Navigating Robot for Detecting Falls and Risk of Falls in Nursing Home Residents With Alzheimer Disease/ADRD - Feasibility Study

NCT07451223 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2026-03-05

No results posted yet for this study

Summary

This study is a feasibility study to prove that an autonomously navigating robot can patrol nursing home rooms day and night and detect if a resident has fallen, turn on ambient light at night and a video camera and allow nursing staff to view and assess the situation through the robot video camera and communicate with the resident through the robot screen.

Conditions

  • Fall in Nursing Home

Sponsors & Collaborators

  • Vigorous Mind, Inc.

    lead INDUSTRY

Principal Investigators

  • Lynn McNicoll, BS, MDCM · Brown University Health

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-31
Primary Completion
2025-07-31
Completion
2025-08-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07451223 on ClinicalTrials.gov