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CompletedNCT02835248Updated Jul 24, 2018

A Novel System to Detect Falls in Real-life Conditions

An observational study in Falls, sponsored by BioSensics. Completed at 1 site in United States. Open to participants aged 75 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-07-24.

Sponsored by BioSensics · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
200
Ages
75 Years and older
Sex
All
01

Study 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.

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Conditions studied

  • Falls
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In context

Lead sponsor

BioSensics is the lead sponsor of 12 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
75 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Older 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/).

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  • Uses a medical alert device
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Primary

    Older 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/).

    Other: Fall Detection

Interventions

  • OtherFall Detection

    All participants will wear a device configured to detect falls.

    Also known as: ActivePERS

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What researchers measure

Primary outcomes

  1. 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

    Time frame: 2 years

Secondary outcomes

  1. Near falls as measured by patient self report

    Time frame: 2 years

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Study locations

1 site
  • Brigham and Women's Hospital
    Boston, Massachusetts 02120, United States
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 24, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02835248
Lead sponsor
BioSensics
Collaborators
Brigham and Women's Hospital, Spaulding Rehabilitation Hospital
Responsible party
Sponsor
First posted
Jul 18, 2016
Start date
Sep 2015
Primary completion
May 2018
Completion
May 2018
Last update
Jul 24, 2018

Study contacts

Shalendar Bhasin, MD
principal investigator · Brigham and Women's Hospital
Joseph T Gwin, PhD
principal investigator · BioSensics
Paolo Bonato, PhD
principal investigator · Spaulding Rehabilitation Hospital

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jul 2018. You cannot join it, but the record below documents what was studied.

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