Using Consumer-grade Wearable Devices for Fall Risk Evaluation and Alerts
ConditionMass Screening
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age65+
SponsorUniversity of Michigan
About this trial
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.
Eligibility criteria
Qualifiers
65 years or older
Disqualifiers
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.
Trial design
Treatments tested in this trial
- risk of fall
Treatment groups
100 Participants
are divided into 1 treatment groupSponsors and collaborators
University of Michigan
Lead sponsor
University of Michigan-Flint
Collaborator
Source ClinicalTrials.gov