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

NCT06508892 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-08-06

No results posted yet for this study

Summary

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.

Conditions

  • Mass Screening

Interventions

BEHAVIORAL

risk of fall

Gather information that will assist in determining risk of fall. The researchers will ask the subjects to perform several motor tests and study-related questionnaires.

Sponsors & Collaborators

Principal Investigators

  • Jennifer Liao, PT, Ph.D. · University of Michigan-Flint

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-07-29
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • United States

Study Locations

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Entities

Companies

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 NCT06508892 on ClinicalTrials.gov