An interventional study of AI-Based Smart Assessment and Rehabilitation Training in Degenerative Lumbar Spine Diseases, sponsored by National Taiwan University Hospital. Recruiting at 1 site in Taiwan. Open to participants aged 50 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-08-21.
Sponsored by National Taiwan University Hospital · Not applicable, Interventional, and Treatment
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.
The multimodal AI-based smart assessment and rehabilitation training system developed in this study will provide patients with lumbar degeneration a convenient and precise home-based rehabilitation solution. 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. This design not only improves patients' self-awareness of posture and movement but also reduces the risk of improper compensatory strategies that often occur in traditional home exercise programs.
The system is particularly suitable for older adults with mobility limitations or those who have difficulties frequently visiting medical institutions. By enabling remote assessment, individualized training, and long-term monitoring, this platform ensures continuity of care and enhances patients' motivation to engage in rehabilitation. The outcomes of this project will establish a tele-rehabilitation system tailored to degenerative lumbar spine disease, support clinicians in delivering precise and effective treatment, and ultimately reduce the healthcare and economic burden on families and society.
National Taiwan University Hospital is the lead sponsor of 2,563 studies on the registry; 568 are open to participants now.
Of its 12 completed or terminated interventional studies of FDA-regulated products, 2 (17%) have results posted.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
The multimodal AI-based smart assessment and rehabilitation training system developed in this study will provide patients with lumbar degeneration a convenient and precise home-based rehabilitation solution.
Other: 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.
Functional assessment: Walking speed
Functional assessment is a process that allows for the identification of disability. The data from the functional assessment is used to calculate walking speed (unit: m/s).
Time frame: 6 months
Functional assessment: Walking distance
Functional assessment is a process that allows for the identification of disability. The data from the functional assessment is used to calculate walking distance (unit: m).
Time frame: 6 months
Functional assessment: 5 Times Sit to Stand Test
Functional assessment is a process that allows for the identification of disability. The data from the 5 Times Sit to Stand Test is used to calculate the duration it took to complete the test (unit: s).
Time frame: 6 months
Kinematic variables: Joint angles
A motion capture system is used to measure the joint kinematics. The data is used to calculate joint angles (unit: degree).
Time frame: 6 months
Kinetic variables
A motion capture system is used to measure the joint kinetics. The data is used to calculate joint moments (unit: Nm)
Time frame: 6 months
Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.
Contact study teamGet an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.
National Taiwan University Hospital