Automatic Detection of Falls and Near Falls

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2009-08-31

Study Completion Date

2011-08-31

Brief Summary

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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.

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Detailed Description

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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

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Falls Missteps

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Interventions

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Hybrid (3-d accelerometers, and gyroscopes)

A 3 D accelerometer worn on the lower back or leg

Intervention Type DEVICE

Other Intervention Names

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McRoberts

Eligibility Criteria

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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

Minimum Eligible Age

50 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes