Developing a Balance Rehabilitation System for Older Adults, Based on IMU and AI: Personalized Training and Preventive Strategies
NCT06596993 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 120
Last updated 2025-11-19
Summary
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
- Community-dwelling Older Adults
Interventions
- OTHER
-
IMU-based balance training
Leveraging AI technology to identify motion deficiencies, the experimental group will undergo IMU-based balance training
- OTHER
-
general health education or exercise training
general health education or exercise training
Sponsors & Collaborators
-
National Taiwan University Hospital
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-11-03
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- Taiwan
Study Locations
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