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โ† Trials
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Digital Health for Lumbar Degeneration

RecruitingNAAges 50 Years - 80 YearsAllNational Taiwan University Hospital
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In plain words

What the trial is, and whether it could suit you

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.

Sign in to get the eligibility rules as simple questions to take to your doctor.

๐Ÿ“‹ Eligibility rules (as published)
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.
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What it tests

  • AI-Based Smart Assessment and Rehabilitation Training
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Where

1 site
National Taiwan University Hospital
Taipei, Taiwan
๐Ÿค Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible โ€” always decide together with your own doctor.
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