Sensory System Weighting and Sensory Integration Therapy Training in Patients With Lumbar Spinal Stenosis
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Lumbar Spinal Stenosis
- Sponsor
- National Taiwan University Hospital
- Enrollment
- 120
- Locations
- 1
- Primary Endpoint
- Postural balance: Mean velocity
- Status
- Recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
Lumbar spinal stenosis is a common degenerative disease in the elderly. Patients are often accompanied by paresthesias and decreased musculoskeletal system functions, resulting in disability and increasing the burden of medical care. The balance and walking ability of such patients are affected by the compressed nerves, so it is necessary to reorganize the nerve sensory systems to compensate for the disability caused by lumbar stenosis. It is necessary to strengthen the training of sensory integration ability, but it has not been Studies have investigated which treatments or surgery can improve sensory integration in patients with lumbar stenosis. Therefore, this study will develop a clinical tool to objectively evaluate sensory integration, quantify the sensory integration ability of patients with lumbar stenosis and neurological claudication; The influence and mechanism of the balance ability.
Detailed Description
Objective 1. To develop a sensory integration assessment tool for patients with lumbar stenosis, in order to explore the distribution ratio of sensory system weights between them and healthy elders of the same age without lumbar stenosis under different balance disturbance stimuli. Objective 2. To explore the distribution ratio of sensory system weights and long-term tracking of changes in sensory system weights in patients with lumbar stenosis and neurological claudication who received sensory integration training after spinal decompression surgery.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Age between 50 and 79 years old
- •Patients with lumbar stenosis and neurological claudication diagnosed according to MRI
- •Timed sit-stand-walk test greater than 9 seconds
- •Can stand independently for more than 30 seconds
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.
Outcomes
Primary Outcomes
Postural balance: Mean velocity
Time Frame: 1 year
The postural balance measurements are performed by using a force platform. The data from the force platform is used to calculate the mean velocity (unit: cm/s).
Postural balance: Ellipse area
Time Frame: 1 year
The postural balance measurements are performed by using a force platform. The data from the force platform is used to calculate 95% confidence ellipse area (unit: cm\^2).
Functional assessment: Duration
Time Frame: 1 year
Functional assessment is a process that allows for the identification of disability. The data from the functional assessment is used to calculate the duration it took to complete the test (unit: s).
Functional assessment: Walking speed
Time Frame: 1 year
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
Time Frame: 1 year
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)
Muscle activities
Time Frame: 1 year
Electromyography is a technique for evaluating and recording muscle activity. The data from electromyography is used to calculate a normalized value (unit: ratio).
Postural balance: Mean distance
Time Frame: 1 year
The postural balance measurements are performed by using a force platform. The data from the force platform is used to calculate the mean distance (unit: cm).
Postural balance:Ｍean frequency
Time Frame: 1 year
The postural balance measurements are performed by using a force platform. The data from the force platform is used to calculate the mean frequency (unit: Hz).
Kinematic variables: Joint angles
Time Frame: 1 year
A motion capture system is used to measure the joint kinematics. The data is used to calculate joint angles (unit: degree).
Kinematic variables: Center of mass
Time Frame: 1 year
A motion capture system is used to measure the joint kinematics. The data is used to calculate the displacement of the center of mass (unit: cm).