Balance rehabilitation system for older adults using AI and motion sensors
Official title: Developing a Balance Rehabilitation System for Older Adults, Based on Inertial Measurement Unit Sensing and Artificial Intelligence: Personalized Training and Preventive Strategies
Run by National Taiwan University Hospital · NCT06596993 · Data updated 2026-11-12
This study is testing a new balance training system using AI and motion sensors to help older adults improve their stability and prevent falls.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei) |
| Status | Recruiting |
| Started | November 3, 2023 |
| Main results expected | December 2026 |
| Study ends | December 2026 |
| Registry record updated | November 19, 2025 |
| Trial ID | NCT06596993 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are community-dwelling older adults aged 18 to 80 who are capable of independent walking.
✕Probably not a fit
Patients with a history of lower limb orthopedic surgery, severe visual or hearing impairments, or neurological and vestibular disorders may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project aims to develop a balance rehabilitation system specifically for older adults by integrating Inertial Measurement Unit (IMU) sensing technology and Artificial Intelligence (AI). The system will monitor and assess movement and posture through IMU sensors, which will provide precise gait analysis. AI will be utilized to customize training regimens based on individual physiological characteristics, enhancing the effectiveness of balance training. The study will involve a three-year plan, focusing on system development, optimization, and clinical validation against standard physical exercises.
Why it matters
Potential benefit: If successful, this system could significantly improve balance and reduce fall risks in older adults, enhancing their quality of life.
How similar studies have gone: Previous studies have shown promise in using technology for rehabilitation in older adults, but this specific approach integrating IMU and AI is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Aged between 18 and 80 years capable of independent walking- Exclusion Criteria: 1. history of lower limb orthopedic surgery, ankylosing spondylitis, rheumatoid arthritis, osteoarthritis, and other medical joint diseases 2. Those who cannot communicate or follow instructions, and those with severe visual or hearing impairments 3. the neurological impairment or vestibular disorders, such as stroke, spinal cord injury, Meniere's syndrome.
Where it's running
-
National Taiwan University, College of Medicine, School and Graduate Institute of Physical Therapy
Taipei, Taiwan Recruiting
Study contacts
- Study coordinator: Hsu Wei-Li, Ph. D
- Email: wlhsu@ntu.edu.tw
- Phone: 886-2-33668127
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.