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DOI: 10.3791/66938-v
Tianfang Zhang1, Zhao Yao1,2, Fenfen Chen2,3, Jie Wang4, Weiyi Shi1, Jinjin Zheng1, Ziwei Zhang1, Zuobing Chen1,2,3
1Department of Rehabilitation Medicine, The First Affiliated Hospital, School of Medicine,Zhejiang University, 2The Second Affiliated Hospital and Yuying Children's Hospital,Wenzhou Medical University, 3Department of Rehabilitation Medicine,Taizhou Hospital Affiliated to Wenzhou Medical University, 4Affiliate Hospital of Shandong University of Traditional Chinese Medicine
This protocol describes an upper limb rehabilitation robot that provides intelligent feedback through four modes. These modes enhance upper limb function and flexibility, thereby improving patients' quality of life.
This is just focuses on enhancing post drug upper lip rehabilitation, using robotic technologies, aiming to improve motor recovery and functional outcomes. Our protocol offers real time adaptation and the personalized feedback leading to more effective and engaging rehabilitation. Our future research will focus on improving robots and combining it with virtual reality and AI to enhance rehabilitation outcomes.
To evaluate the joint range of motion and motor controllability, ask the patient to sit in front of the robot, maintaining the chest one punch away from the platform. Place the affected hand on the end processor of the robot. Use gloves and binders to secure the wrist and hand to prevent slip off during exercise.
Ask the patient to move the upper arm to the maximum, and extend it as far as possible. Put the healthy hand on the affected hand and maximally move the affected upper arm with the assistance of the healthy side. Set the motor control evaluation parameters, including target repetition times, single exercise time, and single relaxation time.
Control the target point to move in different directions according to the motion path and direction displayed on the screen. Based on the patient's upper limb muscle movement, select the training mode. Select the appropriate training procedures based on the patient's evaluated motor control abilities, and joint range of motion.
Set the training time to 10 to 20 minutes. Now set the range of motion according to the evaluated range of motion of the joint. Set the activity trajectory according to the characteristics of the upper arm muscle strength.
Set the power assist or resistance value according to the muscle strength. Next, set the protection threshold using mechanical feedback technology to detect when the patient's strength reaches the threshold indicating spasms. In the virtual farm, ask the patient to control the small hands to grab fruits and vegetables and collect as many stars as possible.
In the scene of the virtual military base, accurately control the bullseye to shoot all the eliminated monsters. In the dodge ball interface, on different roads and obstacles, control the ball to avoid obstacles of different colors to obtain gold coins. Then in the virtual space environment, ask the patient to control the position of the aircraft to shoot to destroy the virus while avoiding movement and enemy attacks.
In quality ball control, control the ball to reach and stay in the bullseye. To play Super ping pong in the virtual ball environment, ask the patient to control the ping pong board to hit the ball and play table tennis with the opponent. To engage in the Block world, control bullseye shooting.
To destroy blocks, watch out for enemy attacks and collect as many coins as possible. In the virtual ball interface, control the ball to touch the target and score the ball. Watch out for enemy attacks and collect as many coins as possible.
Finally, participate in Legendary Gunner. Ask the patient to hold the handle and continuously exert force in the direction of the arrow. Both the control and experimental groups showed significant improvement in FMA-UE and BRS hand scores after rehabilitation training.
While only the experimental group showed a significant increase in BRS arm scores after rehabilitation. The upper limb rehabilitation robot training group demonstrated superior FMA-UE scores compared to the control group post-treatment. The experimental group also showed a significant improvement in MBI scores post-treatment, compared to the control group.
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