Remote Intelligent Interactive Virtual Reality Assessment in Patients With Degenerative Lumbar Spine Diseases

Study Overview
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Brief Summary
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This study will combine virtual reality (VR) technology with machine learning to focus on functional movement. Patients' symptoms will be evaluated, and exercise instruction with real-time feedback will be provided. The goals of this research are to: (1) develop a waist digital sensor for real-time monitoring as an evaluation tool, (2) apply a real-time monitoring system in conjunction with virtual reality for telerehabilitation, and (3) develop the standard model.

Detailed Description
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The remote assessment and training in this study can assist patients obtaining physical therapy care at home. It is suitable for patients who avoid going to the hospital due to the epidemic, and solve the problem of long-term treatment. The outcomes will provide DLSD patients tele-rehabilitation platform and system, help medical personnel to treat patients more effectively in the future, and reduce the burden of medical costs on close ones.

Official Title
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Clinical Effectiveness and Biomechanics Study for Remote Intelligent Interactive Virtual Reality Assessment and Rehabilitation in Patients With Degenerative Lumbar Spine Diseases

Conditions
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Degenerative Lumbar Spine Diseases

Intervention / Treatment
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* Other: Core muscle training


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: able to stand and walk for 5 minutes independently aged between 50 and 80 years received a diagnosis of DLSD based on imaging Exclusion Criteria: previous lumbar surgery neurological disorder such as stroke or spinal cord injury metabolic disease such as diabetes mellitus vestibular disease such as Meniere's disease.

Ages Eligible for Study
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Minimum Age: 20 Years
Maximum Age: 80 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Treatment
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Core muscle training<br>specific rehabilitation exercise for improving functional movements | Other: Core muscle training<br>* Combining virtual reality technology and waist wearable sensors, training the pelvis and lumbar spine movements as the main training goal, it is estimated that two 1-hour training sessions per week, a total of 6 weeks of training, to improve the core muscle of patients with lumbar degenerative diseases muscle strength.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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). | 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). | 6 months | 
| Functional assessment: Duration | Functional assessment is a process that allows for the identification of disability. The data from the functional assessment is used to calculate calculate the duration it took to complete the test (unit: s). | 6 months | 
| Postural balance | he postural balance measurements are performed by using a inertial sensor. The data from the inertial sensor is used to calculate the 95% confidence ellipse area (unit: cm^2) | 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). | 6 months | 
| Kinematic variables: Center of mass | A motion capture system is used to measure the displacement of the center of mass. The data is used to calculate the displacement of the center of mass (unit: cm). | 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) | 6 months | 
| Muscle activities | Electromyography is a technique for evaluating and recording muscle activity. The data from electromyography is used to calculate a normalized value (unit: ratio). | 6 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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degenerative lumbar spine disease, virtual reality, telehealth, real-time detection