Automatic Recognition of Freezing of Gait Episodes

Online Automatic Recognition of Freezing of Gait Episodes

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT00738075

Enrollment

Registered

2008-08-20

Start date

2008-10-31

Completion date

2009-10-31

Last updated

2008-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Parkinson's Disease

Brief summary

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

Detailed description

The subjects will walk with an accelerometer. The acceleration traces will be online analyzed, and if freezing episode is recognized, an auditory cue will be heard.

Interventions

DEVICEAuditory cue

When device recognizes automatically freezing episode it will generate auditory cue

Study design

Observational model

CASE_CONTROL

Eligibility

Sex/Gender

ALL

Age

40 Years to 80 Years

Healthy volunteers

Inclusion criteria

* Patients with Parkinsons disease prone to freezing of gait

Exclusion criteria

* Patients who are not able to ambulate independently

Countries

Israel

Contacts

Primary ContactMeir Plotnik, PhD

meirp@tasmc.health.gov.il+972-3-6973960

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026