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A Novel System to Detect Falls in Real-life Conditions

NCT02835248 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2018-07-24

No results posted yet for this 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.

Conditions

  • Falls

Interventions

OTHER

Fall Detection

All participants will wear a device configured to detect falls.

Sponsors & Collaborators

  • Brigham and Women's Hospital

    collaborator OTHER

  • Spaulding Rehabilitation Hospital

    collaborator OTHER

  • BioSensics

    lead INDUSTRY

Principal Investigators

  • Shalendar Bhasin, MD · Brigham and Women's Hospital

  • Joseph T Gwin, PhD · BioSensics

  • Paolo Bonato, PhD · Spaulding Rehabilitation Hospital

Eligibility

Min Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2015-09-30
Primary Completion
2018-05-31
Completion
2018-05-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02835248 on ClinicalTrials.gov