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Modelling Missteps to Improve Fall Risk Assessment.

NCT04324333 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2020-03-31

No results posted yet for this study

Summary

The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the time of the incident, without the need for an emergency / distress button or making a phone call.

Conditions

  • Fall Patients

Interventions

BEHAVIORAL

Digital wearable system

Owlytics Healthcare's system is dedicated to improving the lives of all seniors by using the predictive power of data analytics.

Sponsors & Collaborators

  • Owlytics Healthcare

    collaborator UNKNOWN

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Study Design

Allocation
NA
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
65 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-09-09
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • Israel

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 NCT04324333 on ClinicalTrials.gov