Automatic Detection of Falls and Near Falls
Recruitment status was Not yet recruiting
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.
|Study Design:||Observational Model: Case Control
Time Perspective: Cross-Sectional
|Official Title:||Automatic Detection of Falls and Near Falls|
- 3 D acceleration [ Time Frame: during assessment ] [ Designated as safety issue: No ]
|Study Start Date:||August 2009|
|Estimated Study Completion Date:||August 2011|
|Estimated Primary Completion Date:||August 2010 (Final data collection date for primary outcome measure)|
Device: Hybrid (3-d accelerometers, and gyroscopes)
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.
|Labrotory for Gait and Neurodynamics, Movement Disorders Unit, TASMC||Not yet recruiting|
|Tel Aviv, IL, Israel, 64239|
|Contact: Jeffrey M Hausdorff, Prof. 972-3-697-3081 email@example.com|
|Study Director:||Jeffrey M Hausdorff, PhD||Tel-Aviv Sourasky Medical Center|