A Novel System to Detect Falls in Real-life Conditions
Completed
- Conditions
- Falls
- Registration Number
- NCT02835248
- Lead Sponsor
- BioSensics
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
- Enrolled in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
Exclusion Criteria
- Uses a medical alert device
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The sensitivity and specificity of ActivePERS fall detection algorithms will be measured by comparing the occurence of falls detected by the wearable device to study participant self reported falls 2 years
- Secondary Outcome Measures
Name Time Method Near falls as measured by patient self report 2 years
Trial Locations
- Locations (1)
Brigham and Women's Hospital
🇺🇸Boston, Massachusetts, United States
Brigham and Women's Hospital🇺🇸Boston, Massachusetts, United States