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Automatic Detection of Falls and Near Falls

Falls Clinical Trial

Official title:
Automatic Detection of Falls and Near Falls

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.

Clinical Trial 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. ;

Study Design

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

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT00948844
Study type Observational
Source Tel-Aviv Sourasky Medical Center
Contact
Status Not yet recruiting
Phase N/A
Start date August 2009
Completion date August 2011
View Details
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