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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| new system to detect Near Falls | Device | We 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 |
| Measure | Description | Time Frame |
|---|---|---|
| usability of the system to detect Near Falls | one year |
| Measure | Description | Time Frame |
|---|---|---|
| Near Fall severity | one year |
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Inclusion Criteria:
Exclusion Criteria:
Systemic chronic or acute pathologies:
Patients who underwent brain surgery in the last 6 months prior to the study
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Healthy older adults with a history of falls
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nir Giladi, MD | Contact | +972 3 6974958 | nirg@tasmc.health.gov.il | |
| Anat Mirelman, PhD | Contact | +972 3 6973960 | anatmi@tasmc.health.gov.il |
| Name | Affiliation | Role |
|---|---|---|
| Nir Giladi, MD | Tel-Aviv Sourasky Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tel Aviv Sourasky Medical Center | Tel Aviv | 64239 | Israel |
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