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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
Inclusion Criteria
  1. Healthy older adults with a history of falls or complaints of gait instability
  2. Able to walk independently for at least 10 minutes
Exclusion Criteria
  1. Systemic chronic or acute pathologies:

    1. Ischemic heart disease
    2. Orthopedic or Rheumatic diseases
    3. Severe vision problems
    4. Neurological disease: PD, AD, CVA
  2. 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
GroupInterventionDescription
new system to detect Near Fallsnew system to detect Near Fallsthe 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
NameTimeMethod
usability of the system to detect Near Fallsone year
Secondary Outcome Measures
NameTimeMethod
Near Fall severityone year

Trial Locations

Locations (1)

Tel Aviv Sourasky Medical Center

🇮🇱

Tel Aviv, Israel

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