Remote Intelligent Interactive Virtual Reality Assessment in Patients With Degenerative Lumbar Spine Diseases
- Conditions
- Degenerative Lumbar Spine Diseases
- Interventions
- Other: Core muscle training
- Registration Number
- NCT05425680
- Lead Sponsor
- National Taiwan University Hospital
- Brief Summary
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
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.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 120
- able to stand and walk for 5 minutes independently
- aged between 50 and 80 years
- received a diagnosis of DLSD based on imaging
- neurological disorder such as stroke or spinal cord injury
- metabolic disease such as diabetes mellitus
- vestibular disease such as Meniere's disease.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Core muscle training Core muscle training specific rehabilitation exercise for improving functional movements
- Primary Outcome Measures
Name Time Method Functional assessment: Duration 6 months 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).
Muscle activities 6 months Electromyography is a technique for evaluating and recording muscle activity. The data from electromyography is used to calculate a normalized value (unit: ratio).
Functional assessment: Walking speed 6 months 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).
Functional assessment: Walking distance 6 months 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).
Kinetic variables 6 months A motion capture system is used to measure the joint kinetics. The data is used to calculate joint moments (unit: Nm)
Postural balance 6 months 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)
Kinematic variables: Center of mass 6 months 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).
Kinematic variables: Joint angles 6 months A motion capture system is used to measure the joint kinematics. The data is used to calculate joint angles (unit: degree).
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
National Taiwan University Hospital or Movement Science Lab of National Taiwan University
🇨🇳Taipei, Taiwan
National Taiwan University Hospital
🇨🇳Taipei, Taiwan