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Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults

NCT01668979 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2012-08-20

No results posted yet for this study

Summary

The study is aimed to assess a new system for the automatic detection, quantification and treatment of Near Fall (NF) episodes in healthy older adults with a history of falls. The system is comprized of a treadmill and a virtual reality simulation which provides a motor-cognitive challenge to provoke NF. The challenges provided by the system are individualized and using machine learning algorithms will enable the identification and detection of NF under different conditions and allow for the most suitable treatment.

Conditions

  • Idiopathic Fallers

Interventions

DEVICE

new system to detect Near Falls

We will invite healthy older adults with a history of falls to try the new system and assess whether the new system can induce, detect and quantify Near Fall episodes

Sponsors & Collaborators

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Principal Investigators

  • Nir Giladi, MD · Tel-Aviv Sourasky Medical Center

Eligibility

Min Age
60 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2012-09-30
Primary Completion
2013-09-30
Completion
2013-09-30

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 NCT01668979 on ClinicalTrials.gov