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

Who can join

Ages 65 and older · All sexes · Healthy volunteers welcome

Inclusion Criteria:

* 65 years or older

Exclusion Criteria:

* 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.

About the study

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.

What is being tested

• risk of fall (behavioral)

Sponsor: University of Michigan · Participants: 100 · Started: Jul 29, 2024

Contact the study team

• Nathan Miller, Ph.D. · Phone: 810-762-3234
• Cathy A Larson, PT, Ph.D. · Phone: 8107623373

Official record on ClinicalTrials.gov — NCT06508892

Locations in the U.S.

From ClinicalTrials.gov, data retrieved Oct 2, 2026. Each study sets its own eligibility; the study team decides who can join.