Automatic Detection of Falls and Near Falls

Falls Clinical Trial

Official title:

Automatic Detection of Falls and Near Falls

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT00948844
• Other study ID #: TASMC - 09 - NG - 521 - CTIL
• Status: Not yet recruiting
• Phase: N/A
• First received: May 27, 2009
• Last updated: July 28, 2009
• Start date: August 2009
• Est. completion date: August 2011

Study information

• Verified date: July 2009
• Source: Tel-Aviv Sourasky Medical Center
• Contact: n/a
• Is FDA regulated: No
• Health authority: Israel: Ethics Commission
• Study type: Observational

Clinical Trial 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.

Description:

The aim of this study is to develop a detailed algorithm which will automatically detect falls and near falls, in the elderly as a general population prone to falls. The algorithm will be used as well in patients with Parkinson's Disease representing neurodegenerative diseases. All participants will arrive at the investigators' gait laboratory for an inhanced assessment, including neurological examination, various questionnaires. A sub-group of the subjects, will receive a monitoring device, to be worn at home for three days.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 90
• Est. completion date: August 2011
• Est. primary completion date: August 2010
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Female
• Age group: 50 Years to 80 Years

Eligibility

Inclusion Criteria:

• Healthy Older Adults

• Parkinson's Disease Patients

• Idiopathic Fallers

Exclusion Criteria:

• Walking Aid

• Other Neurological Diseases than PD

• Significant Disturbance in Vision/Hearing

• History of CVA

• Significant Orthopedic Problem

• Dementia

Study Design

Observational Model: Case Control, Time Perspective: Cross-Sectional

Related Conditions & MeSH terms

• Falls
• Missteps

Intervention

Device:
• Hybrid (3-d accelerometers, and gyroscopes)
A 3 D accelerometer worn on the lower back or leg

Locations

Country	Name	City	State
Israel	Labrotory for Gait and Neurodynamics, Movement Disorders Unit, TASMC	Tel Aviv	IL

Sponsors (1)

Lead Sponsor	Collaborator
Tel-Aviv Sourasky Medical Center

Country where clinical trial is conducted

Israel, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	3 D acceleration		during assessment	No