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Developing a Falls Prediction Tool Using Both Accelerometer and Video Gait Analysis Data in Older Adults
Sponsor: University of British Columbia
Summary
Our group, consisting of academic clinicians and research engineers, seeks to create a database of stability measures (accelerometers, gyroscopes and altitude sensor data) in older adults monitored longitudinally. This Stability Measures (SM) database will allow us to use new machine learning methods to develop and then validate algorithms that predict future falls, allowing for better targeting of vulnerable patients.
Key Details
Gender
All
Age Range
65 Years - Any
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2025-04-15
Completion Date
2026-04
Last Updated
2024-12-05
Healthy Volunteers
No
Conditions
Interventions
A 6-minute walk test
Each subject will perform a 6-minute walk test during which gait assessment will be obtained from the APDM system (Portland, OR). In addition there will be four video cameras (on the front, back and sides) that will measure raw video data for our gait analysis. The camera does not record any facial data (in fact, 'deepfake' software in the system deletes all facial details) and the patient's movements are converted to a 'stick figure' prior to being saved in the system.
Locations (1)
Vancouver Coastal Health Research Institute, VGH Research Pavilion Room 186
Vancouver, British Columbia, Canada