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Digital Health for Lumbar Degeneration
Sponsor: National Taiwan University Hospital
Summary
This study will integrate wireless wearable sensors, smartphone imaging, and multimodal artificial intelligence (AI) to address the rehabilitation needs of patients with lumbar degeneration. Patients will undergo comprehensive functional assessments, and individualized exercise instruction with real-time feedback will be provided through a smartphone application. The goals of this research are to: (1) develop a multimodal AI-based digital health system combining IMU sensors and smartphone cameras for real-time assessment and interactive rehabilitation training, (2) construct biomechanics- and gait-analysis models to support personalized rehabilitation for patients with lumbar degeneration, and (3) investigate the mechanisms and clinical efficacy of pelvic control exercise training combined with real-time smartphone feedback in improving function and quality of life for aging patients.
Official title: Digital Health for Aging: A Multimodal AI-Based Smart Assessment and Rehabilitation Training System for Lumbar Degeneration
Key Details
Gender
All
Age Range
50 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2025-08-01
Completion Date
2028-07-31
Last Updated
2025-08-21
Healthy Volunteers
Yes
Conditions
Interventions
AI-Based Smart Assessment and Rehabilitation Training
Through the integration of wireless inertial sensors and smartphone imaging, the system can monitor pelvic and lumbar movements in real time, generate a digital twin model, and deliver instant feedback to guide patients in performing correct exercises.
Locations (1)
National Taiwan University Hospital
Taipei, Taiwan