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.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
107
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.
National Taiwan University Hospital or Movement Science Lab of National Taiwan University
Taipei, Taipei, Taiwan
National Taiwan University Hospital
Taipei, Taiwan
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: 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).
Time frame: 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)
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
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).
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)
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Time frame: 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).
Time frame: 6 months