NCT00948844

Automatic Detection of Falls and Near Falls

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 90 (estimated)
• Sponsor: Tel-Aviv Sourasky Medical Center · Other Government
• Sex: Female
• Age: 50 Years – 80 Years
• Healthy volunteers: Accepted

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.

Detailed 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.

Conditions

• Falls
• Missteps

Interventions

Type	Name	Description
DEVICE	Hybrid (3-d accelerometers, and gyroscopes)	A 3 D accelerometer worn on the lower back or leg

Timeline

• Start date: 2009-08-01
• Primary completion: 2010-08-01
• Completion: 2011-08-01
• First posted: 2009-07-29
• Last updated: 2009-07-29

Locations

1 site across 1 country: Israel