Balance rehabilitation system for older adults using AI and motion sensors
Developing a Balance Rehabilitation System for Older Adults, Based on Inertial Measurement Unit Sensing and Artificial Intelligence: Personalized Training and Preventive Strategies
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
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 120 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei) |
| Trial ID | NCT06596993 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are community-dwelling older adults aged 18 to 80 who are capable of independent walking.
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.
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 performed: Previous studies have shown promise in using technology for rehabilitation in older adults, but this specific approach integrating IMU and AI is relatively novel.
Eligibility criteria
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 this trial is running
Taipei
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.