A Novel System to Detect Falls in Real-life Conditions

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02835248

Enrollment

200

Registered

2016-07-18

Start date

2015-09-30

Completion date

2018-05-31

Last updated

2018-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Falls

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.

Interventions

OTHERFall Detection

All participants will wear a device configured to detect falls.

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

75 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* Enrolled in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).

Exclusion criteria

* Uses a medical alert device

Design outcomes

Primary

Measure	Time frame
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

Measure	Time frame
Near falls as measured by patient self report	2 years

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026