FARAO: Fall Risk Assessment in Older Adults from accelerometry in daily life

In the FARAO project we focussed on predicting falls based on daily life gait characteristics obtained with one-week accelerometry data. Our system is based on miniature accelerometers (MoveMonitor) and has been worn by more than 300 participants. We found that gait quality measures of daily life gait have added value to predicting falls. We are currently using the database collected to further optimize fall prediction.

Project Parameters

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Launch Date: 2017

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Funding: EC, Marie Curie Sklodowska Actions

Research Partners

McRoberts bv Dr. Petra Elders (VUmc)

Related Research Themes & Projects

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The overall aim of this project is to test the potential of the such perturbation-based training by use of a newly developed dual-belt treadmill, with options for fast, ecologically valid trip and slip perturbations, triggered in various gait phases, to improve dynamic stability and prevent falls in older persons at risk for falls.

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