NCT01668979

Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 20 (estimated)
• Sponsor: Tel-Aviv Sourasky Medical Center · Other Government
• Sex: All
• Age: 60 Years – 85 Years
• Healthy volunteers: Accepted

Summary

The study is aimed to assess a new system for the automatic detection, quantification and treatment of Near Fall (NF) episodes in healthy older adults with a history of falls. The system is comprized of a treadmill and a virtual reality simulation which provides a motor-cognitive challenge to provoke NF. The challenges provided by the system are individualized and using machine learning algorithms will enable the identification and detection of NF under different conditions and allow for the most suitable treatment.

Conditions

• Idiopathic Fallers

Interventions

Type	Name	Description
DEVICE	new system to detect Near Falls	We will invite healthy older adults with a history of falls to try the new system and assess whether the new system can induce, detect and quantify Near Fall episodes

Timeline

• Start date: 2012-09-01
• Primary completion: 2013-09-01
• Completion: 2013-09-01
• First posted: 2012-08-20
• Last updated: 2012-08-20

Locations

1 site across 1 country: Israel