MedTrace Logo

Automatic Detection of Falls and Near Falls

NCT00948844 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 90

Last updated 2009-07-29

No results posted yet for this study

Summary

The aim of this study is to develop an algorithm to automatically detect falls and near falls, in the elderly and in Parkinson's Disease patients. Subjects will arrive at the investigators' gait laboratory for assessment. A sub-group of the subjects, will receive a monitoring device, to be worn at home for three days.

Conditions

  • Falls
  • Missteps

Interventions

DEVICE

Hybrid (3-d accelerometers, and gyroscopes)

A 3 D accelerometer worn on the lower back or leg

Sponsors & Collaborators

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Principal Investigators

  • Jeffrey M Hausdorff, PhD · Tel-Aviv Sourasky Medical Center

Eligibility

Min Age
50 Years
Max Age
80 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2009-08-31
Primary Completion
2010-08-31
Completion
2011-08-31

Countries

  • Israel

Study Locations

More Related Trials

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 NCT00948844 on ClinicalTrials.gov