Assessment of a New System to Detect, Quantify and Treat Near Falls in Older Adults

Tel Aviv Sourasky Medical Center

Status: Unknown

Conditions: Idiopathic Fallers

Treatments: Device: new system to detect Near Falls

Study type: Observational

Funder types: Other

Identifiers

NCT01668979

TASMC-12-NG-0363-CTIL

Details and patient eligibility

About

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.

Enrollment: 20 estimated patients

Sex: All

Ages: 60 to 85 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

20 participants in 1 patient group

new system to detect Near Falls

Description:

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.

Treatment:

Device: new system to detect Near Falls