NCT01668979
Unknown
Not Applicable
Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults
ConditionsIdiopathic Fallers
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Idiopathic Fallers
- Sponsor
- Tel-Aviv Sourasky Medical Center
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- usability of the system to detect Near Falls
- Last Updated
- 13 years ago
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.
Investigators
Michal Roll PhD,MBA
Director of Research and Development
Tel-Aviv Sourasky Medical Center
Eligibility Criteria
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)
Study Sites (1)
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