A Novel System to Detect Falls in Real-life Conditions

Completed

Conditions studied: Falls

In brief

Medical alert devices with automatic fall detection functionality use accelerometry to detect a fall and can signal for help if the wearer forgets to, or is incapable of, pressing the alert button. This can save lives and prevent complications associated with long periods of time spent on the floor after a fall. In this project, the sensitivity and false alarm rate of a commercially available medical alert device will be tested in a population of 200 community-dwelling older adults.

Key facts

Study ID
NCT02835248
Run by
BioSensics
People needed
200
Starts
2015-09-01
Expected to finish
2018-05-01
Last updated by the study team
2018-07-24

Who can join

Age: 75 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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