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FallsNCT00948844

Automatic Detection of Falls and Near Falls

An observational study of Falls and Missteps, run by Tel-Aviv Sourasky Medical Center at 1 site in Israel.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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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. Read more about this study

Who is it for?
Ages 50 to 80 years, women onlyHealthy volunteers can take part
Conditions the study is for
Falls, Missteps
What is being tested?
Hybrid (3-d accelerometers, and gyroscopes)
Type of treatment
Medical device
How many people
90 participants
Where
1 siteIsrael
Study dates
Aug 2009to Aug 2011
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 50 to 80 years
  • Women only
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: * Healthy Older Adults * Parkinson's Disease Patients * Idiopathic Fallers

Who may be able to join

  • Healthy Older Adults
  • Parkinson's Disease Patients
  • Idiopathic Fallers

Who cannot join

  • Walking Aid
  • Other Neurological Diseases than PD
  • Significant Disturbance in Vision/Hearing
  • History of CVA
  • Significant Orthopedic Problem
  • Dementia

Trial locations and contacts

1 site in 1 country.

Israel1 site
  • Labrotory for Gait and Neurodynamics, Movement Disorders Unit, TASMC

    Tel Aviv, IL, 64239

    Jeffrey M Hausdorff, Prof., 972-3-697-3081, jhausdor@tasmc.health.gov.il

Other trials in Israel

About this study

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.

Read the 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.

Conditions
Falls, Missteps
Being tested
Hybrid (3-d accelerometers, and gyroscopes)
Keywords
falls, Missteps

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Hybrid (3-d accelerometers, and gyroscopes)Device

    Also called McRoberts

    A 3 D accelerometer worn on the lower back or leg

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 3 D acceleration

    Measured: during assessment

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted29 Jul 2009 (estimated)
  2. Study startAug 2009
  3. Primary completionAug 2010 (estimated)
  4. Study completionAug 2011 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case-control
Time perspective
Cross-sectional
Enrolment
90 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT00948844
Sponsor's protocol ID
TASMC - 09 - NG - 521 - CTIL
Status last verified
Jul 2009
First submitted
27 May 2009
Last updated
29 Jul 2009
Results posted
No
Data monitoring committee
Yes

Questions about this trial

What is this clinical trial studying?

An observational study of Falls and Missteps, run by Tel-Aviv Sourasky Medical Center at 1 site in Israel.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 29 Jul 2009. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Israel. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

3 D acceleration (time frame: during assessment). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Jul 2009.

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