Smartphone and wearable sensor rehab for lumbar spine degeneration
Official title: Digital Health for Aging: A Multimodal AI-Based Smart Assessment and Rehabilitation Training System for Lumbar Degeneration
Run by National Taiwan University Hospital · NCT07133724 · Data updated 2026-11-12
This project will test whether a smartphone app combined with wireless wearable sensors and AI can give real-time guidance to help older adults with degenerative lumbar spine disease do personalized home rehabilitation.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years to 80 Years |
| Sex | All |
| Enrollment | 100 (estimated) |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei) |
| Status | Recruiting |
| Started | August 1, 2025 |
| Main results expected | July 31, 2028 |
| Study ends | July 31, 2028 |
| Registry record updated | August 21, 2025 |
| Trial ID | NCT07133724 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 50–80 with degenerative lumbar spine disease who can walk independently for more than 10 meters, have normal lumbar mobility, can follow instructions, and have not had disabling low back pain in the past year.
✕Probably not a fit
Patients with systemic joint disease, central nervous system or vestibular disorders, prior spinal or lower-limb surgery, inability to communicate or follow instructions, or significant mobility impairments are unlikely to benefit from this program.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The trial will combine inertial measurement unit (IMU) wearables and smartphone camera imaging with multimodal artificial intelligence to monitor pelvic and lumbar movements in real time and create a digital twin of patient motion. Participants will complete functional assessments and then receive individualized pelvic-control exercise programs delivered through a smartphone app that provides instant feedback and corrective cues. Biomechanics and gait-analysis models will be developed to tailor training and track progress over time. Outcomes include changes in functional performance and quality of life, with remote monitoring to support continuity of care.
Why it matters
Potential benefit: If successful, the system could enable precise, home-based rehabilitation with real-time feedback that improves function and quality of life while reducing the need for frequent clinic visits.
How similar studies have gone: Previous tele-rehabilitation and wearable-sensor programs have shown promising improvements in gait and function, but fully integrated IMU-plus-camera multimodal AI systems with digital-twin feedback remain relatively new and not widely validated.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age between 50-80 years to capture the typical characteristics of lumbar degeneration in this age group. 2. No history of low back pain lasting more than one week or severe enough to interrupt work within the past year. 3. Normal lumbar functional mobility. 4. Ability to walk independently for more than 10 meters. Exclusion Criteria: 1. Presence of systemic joint diseases such as ankylosing spondylitis, rheumatoid arthritis, or multiple sclerosis, which may significantly affect lumbar mobility and gait patterns. 2. Central nervous system disorders (e.g., spinal cord injury, stroke, or Parkinson's disease) that may influence gait and motor control. 3. Vestibular system disorders, to avoid balance abnormalities interfering with gait testing. 4. History of spinal or lower limb surgery, as postoperative changes may affect the accuracy of gait data. 5. Inability to communicate or follow instructions.
Where it's running
-
National Taiwan University Hospital
Taipei, Taiwan Recruiting
Study contacts
- Study coordinator: Wei-Li Hsu, Ph.D.
- Email: wlhsu@ntu.edu.tw
- Phone: 886-2-3366-8127
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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.