NCT01668979UnknownNot Applicable
Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults
Tel-Aviv Sourasky Medical Center1 site in 1 country20 target enrollmentStarted: September 2012Last updated:
Conditions
Trial Snapshot
- Phase
- Not Applicable
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- usability of the system to detect Near Falls
Study Overview
Brief 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.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Cross Sectional
Eligibility Criteria
- Ages
- 60 Years to 85 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Healthy older adults with a history of falls or complaints of gait instability
- •Able to walk independently for at least 10 minutes
Exclusion Criteria
- •Systemic chronic or acute pathologies:
- •Ischemic heart disease
- •Orthopedic or Rheumatic diseases
- •Severe vision problems
- •Neurological disease: PD, AD, CVA
- •Patients who underwent brain surgery in the last 6 months prior to the study
Outcomes
Primary Outcomes
usability of the system to detect Near Falls
Time Frame: one year
Secondary Outcomes
- Near Fall severity(one year)
Investigators
Michal Roll PhD,MBA
Director of Research and Development
Tel-Aviv Sourasky Medical Center
Study Sites (1)
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