Using Consumer-grade Wearable Devices for Fall Risk Evaluation and Alerts

Recruiting now

Conditions studied: Mass Screening

In brief

Creation and use of a smartphone application for older adults to assess the participants' risk of fall. Phase 1: Compare the accuracy and validity of accelerometer and gyroscopic data from a smartphone and gold-standard, wearable sensors gathered during balance and gait activities. Phase 2: Develop a model that integrates wearable sensor data and individual characteristics, such as age, medical conditions, exercises, previous falls, fear of falls, along with gait and balance outcome measurements, to evaluate fall risk in older adults. Phase 3: Integrate the computational model in the design of a mobile app for wearable devices for older adults to self-administer fall risk assessments and provide individualized risk of fall information.

Key facts

Study ID

NCT06508892

Run by

University of Michigan

People needed

100

Starts

2024-07-29

Expected to finish

2026-12-31

Last updated by the study team

2025-08-06

Who can join

Age: 65 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 65 years or older

You may not qualify if…

• have been diagnosed with neurological conditions such as multiple sclerosis, Parkinson's disease, traumatic brain injury, Alzheimer's disease, or have had a stroke in the last year
• have orthopedic or cardiopulmonary conditions and/or surgeries in the past year
• have physical limitations that would make it difficult or uncomfortable for individuals to perform the experimental tasks.

Where it is running

• University of Michigan-Flint — Flint, Michigan, United States (enrolling)

Full record on ClinicalTrials.gov

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