MedPath

A Novel System to Detect Falls in Real-life Conditions

Completed
Conditions
Falls
Interventions
Other: Fall Detection
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
Arm && Interventions
GroupInterventionDescription
PrimaryFall DetectionOlder adult study participants will be recruited from the cohort of participants in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
Primary Outcome Measures
NameTimeMethod
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 falls2 years
Secondary Outcome Measures
NameTimeMethod
Near falls as measured by patient self report2 years

Trial Locations

Locations (1)

Brigham and Women's Hospital

🇺🇸

Boston, Massachusetts, United States

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