Automatic Recognition of Freezing of Gait Episodes

NCT00738075 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2008-08-20

No results posted yet for this study

Summary

The investigators hypothesize that mathematical algorithm can identify freezing episodes based on data obtained from accelerometer.

Conditions

Interventions

DEVICE

Auditory cue

When device recognizes automatically freezing episode it will generate auditory cue

Sponsors & Collaborators

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Principal Investigators

  • Meir Plotnik, PhD · Tel-Aviv Sourasky Medical Center

Eligibility

Min Age
40 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-10-31
Primary Completion
2009-10-31
Completion
2009-10-31

Countries

  • Israel

Study Locations

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Entities

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 NCT00738075 on ClinicalTrials.gov