Actively Recruiting
Developing a Balance Rehabilitation System for Older Adults, Based on IMU and AI: Personalized Training and Preventive Strategies
Led by National Taiwan University Hospital · Updated on 2025-11-19
120
Participants Needed
1
Research Sites
160 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The aging physiological state of the elderly may lead to problems such as unstable gait, balance disorders, and falls. Previous research has confirmed that exercise training can help improve the physical function, quality of life, and reduce the risk of falls in the elderly. In order to achieve effective and continuous intervention training, somatosensory games have become a trend in recent years. Among them, the use of non-immersive virtual reality training methods not only provides training for the elderly, but also reduces the discomfort caused by the virtual environment; however, there are some limitations in clinical rehabilitation training methods, such as the lack of data-based evaluation and personalization. In order to solve the above problems, this research plan will use the inertial measurement unit as a tool for clinical monitoring and human movement assessment, and use artificial intelligence technology to evaluate and adjust the training plan according to its gait characteristics to achieve personalization Training and prevention strategies.
CONDITIONS
Official Title
Developing a Balance Rehabilitation System for Older Adults, Based on IMU and AI: Personalized Training and Preventive Strategies
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged between 18 and 80 years
- Able to walk independently
You will not qualify if you...
- History of lower limb orthopedic surgery, ankylosing spondylitis, rheumatoid arthritis, osteoarthritis, or other joint diseases
- Unable to communicate or follow instructions, or have severe visual or hearing impairments
- Neurological impairment or vestibular disorders such as stroke, spinal cord injury, or Meniere's syndrome
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
National Taiwan University, College of Medicine, School and Graduate Institute of Physical Therapy
Taipei, Taiwan, 100
Actively Recruiting
Research Team
H
Hsu Wei-Li, Ph. D
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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