Idiopathic Fallers | Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults
Idiopathic Fallers research study
What is the primary objective of this study?
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.
Who is eligible to participate?
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
Which medical condition, disease, disorder, syndrome, illness, or injury is researched?
Interventions can include giving participants drugs, medical devices, procedures, vaccines, and other products that are either investigational or already available or noninvasive approaches such as surveys, education, and interviews.
Device:new system to detect Near FallsWe 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
Research studies and clinical trials typically have two or more research arms. An arm is a group of people who receive the same treatment in the study.
new 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.
Start Date: September 2012
Completed Date: September 2013
Primary Outcome: usability of the system to detect Near Falls
Secondary Outcome: Near Fall severity
Study sponsors, principal investigator, and references
Principal Investigator: Nir Giladi, MD
Lead Sponsor: Tel-Aviv Sourasky Medical Center