Super Lowest Price Eswt Device For Tendon Disorders - Upper Limb Training And Evaluation System A6 – Yikang Detail:
Be able to achieve passive and active motion of upper limbs in multiple dimensions
Combining with situation interactions, training feedback information and a powerful evaluation system, patients can perform rehabilitation training at zero muscle strength, reducing the time for patient rehabilitation training.
Product introduction
The upper limb training and evaluation system, based on computer technology and combined with the theory of rehabilitation medicine, simulates the law of upper limb movement in real time, and can realize passive and active movement of upper limbs in multiple dimensions.After combining contextual interactions, training feedback information, and a powerful assessment system, patients can perform rehabilitation training at zero muscle strength, reducing the time required for rehabilitation. .
It’ suitable for patients with upper limb dysfunction or limited function due to central nervous system, peripheral nerve, spinal cord, muscle or bone disease, the product supports specific exercises, increases muscle strength, expands the range of motion of the joint, and improves motor function; It can also assist clinicians in evaluating these features.
Indication
Upper limb dysfunction caused by nervous system damage such as stroke, brain injury, spinal cord injury, and neuropathy, upper limb movement disorder after upper limb surgery.
Features
1.There are 4 training modes: passive mode, active and passive mode, active mode and prescription training, and each mode has a corresponding game.
Passive mode: In early period, the therapist can set the upper limb movement trajectory for the patient. The A6 can drive the patient’s upper limb to perform repeated, continuous and stable trajectory reduction, and activate the patient’s nerve conduction pathway.
Active and passive mode: In the active and passive mode, the device will drive the patient to follow the path of the upper limb movement set by the therapist, which is different from the passive mode. In this reduction process, the patient can force the robot to accelerate or decelerate.
Active mode: When the patient’s muscle strength can control the upper limbs autonomously, the A6 can be moved freely in the three-dimensional space. The therapist chooses the targeted game to improve the patient’s rehabilitation effect.
Prescription training: The prescription mode is based on the movements of the upper limbs, such as combing hair and drinking water, which are commonly used in people’s normal life. The patient can repeatedly learn these basic movement modes in the prescription mode and quickly restore the ability to live.
2.Can set track restoration training
3.Intelligent feedback function
4.Information storage and query
5.Print function
Data view
User: registration, basic information search, modification, and deletion.
Evaluation: Evaluate the joint activity, save the evaluation data, view the evaluation results and print the evaluation results, and record the upper limb preset running trajectory and speed.
Trajectory learning: set the training track
Training: Select the training mode, set the training parameters, and select the game to start training.
Chart: View patient history training information.
Product detail pictures:
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No matter new customer or previous client, We believe in prolonged time period and trustworthy relationship for Super Lowest Price Eswt Device For Tendon Disorders - Upper Limb Training And Evaluation System A6 – Yikang, The product will supply to all over the world, such as: Las Vegas , Zimbabwe , United States , Our products have enjoyed a great reputation for their good quality, competitive prices and prompt shipment in international market. Presently, we are sincerely looking forward to cooperating with more overseas customers based on mutual benefits.
By Camille from Uruguay - 2016.06.16 18:23
We feel easy to cooperate with this company, the supplier is very responsible, thanks.There will be more in-depth cooperation.
By Edith from Finland - 2016.02.18 15:54