Falls, Missteps
Conditions
Keywords
falls, Missteps
Brief 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.
Interventions
DEVICEHybrid (3-d accelerometers, and gyroscopes)
A 3 D accelerometer worn on the lower back or leg
Sponsors
Tel-Aviv Sourasky Medical Center
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
FEMALE
Age
50 Years to 80 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 3 D acceleration | during assessment |
Countries
Israel
Outcome results
None listed