Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults
- Conditions
- Idiopathic Fallers
- Interventions
- Device: new system to detect Near Falls
- Registration Number
- NCT01668979
- Lead Sponsor
- Tel-Aviv Sourasky Medical Center
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 20
- Healthy older adults with a history of falls or complaints of gait instability
- Able to walk independently for at least 10 minutes
-
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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description new system to detect Near Falls new system to detect Near Falls the new system comprises of a treadmill and a virtual reality simulation that will be used to induce Near Falls in healthy older adults with a history of falls.
- Primary Outcome Measures
Name Time Method usability of the system to detect Near Falls one year
- Secondary Outcome Measures
Name Time Method Near Fall severity one year
Trial Locations
- Locations (1)
Tel Aviv Sourasky Medical Center
🇮🇱Tel Aviv, Israel