Automatic Recognition of Freezing of Gait Episodes

Tel Aviv Sourasky Medical Center

Status: Unknown

Conditions: Parkinson's Disease

Treatments: Device: Auditory cue

Study type: Observational

Funder types: Other

Identifiers

NCT00738075

TASMC-08-NG-0283-CTIL

Details and patient eligibility

About

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

Full 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.

Enrollment: 30 estimated patients

Sex: All

Ages: 40 to 80 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients with Parkinsons disease prone to freezing of gait

Exclusion criteria

• Patients who are not able to ambulate independently

Trial design

30 participants in 1 patient group

PD+FOG

Description:

Patients with Parkinson's disease prone to freezing

Treatment:

Device: Auditory cue