Automatic Detection of Falls and Near Falls

Tel Aviv Sourasky Medical Center

Status: Unknown

Conditions: Falls; Missteps

Treatments: Device: Hybrid (3-d accelerometers, and gyroscopes)

Study type: Observational

Funder types: Other

Identifiers

NCT00948844

TASMC - 09 - NG - 521 - CTIL

Details and patient eligibility

About

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.

Full 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.

Enrollment: 90 estimated patients

Sex: Female

Ages: 50 to 80 years old

Volunteers: Accepts Healthy Volunteers

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