![]() ![]() Mullins, B.M.: Nikki Kelsall,Anatomy of the lumbar and sacral plexuses and lower limb peripheral neuropathies, Surgery (Oxford), 41(4), 193–199 (2023), ISSN 0263–9319 In: 2006 IEEE Conference on Robotics, Automation and Mechatronics, Bangkok, Thailand, pp. Zhao, T.S., Li, Y.W., Chen, J., Wang, J.C.: A novel Four-DOF parallel manipulator mechanism and its kinematics. In: 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT), Changzhou, China, pp. He, H., Li, J., Shen, H.: A New two -chain 2T1R parallel mechanism with zero coupling degree and its position analysis. In: 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA, pp. Guo, X., Zhou, Z., Mai, J., Wang, Q.: Kinematic and kinetic analysis of 3-RPR based robotic lumbar brace. In: 2018 37th Chinese Control Conference (CCC), Wuhan, China, pp. Sun, Y., Wang, H., Tian, Y.: The design and synchronous control of a new lower back exoskeleton. Wolf, S.G., Lossing, W.W.: Method and device for producing variable spinal traction: U.S. Mikan, V.: Traction bed construction: U.S. In: 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, Korea (South), pp. Hung, Y.-H., Chen, P.-J., Lin, W.-Z.: Design factors and opportunities of rehabilitation robots in upper-limb training after stroke. Tadano, S., Tanabe, H., Arai, S., et al.: Lumbar mechanical traction: a biomechanical assessment of change at the lumbar spine. Huang, R., Ning, J., Chuter, V., et al.: Exercise alone and exercise combined with education both prevent episodes of low back pain and related absenteeism: systematic review and network meta-analysis of Randomised Controlled Trials (RCTS) aimed at preventing back pain. Jan, H., Mark, J., Alice, K., et al.: What low back pain is and why we need to pay attention. Firstly, the motion characteristics of the human lumbar spine and its range of motion is determined, and based on the size and range of motion of the human lumbar spine, the configuration design of the lumbar rehabilitation robot is proposed, and a 2-PUU/2-PUS parallel mechanism with three rotations and one translation is proposed then the degree of freedom(DoF) analysis is carried out based on the screw theory Finally, the kinematic inverse solution analysis is performed based on the Euler transformation and the geometrical characteristics of this parallel mechanism respectively, and validated based on the established virtual prototype model, and the results show that the mechanism motion characteristics meet the requirements of lumbar rehabilitation. A wearable lumbar rehabilitation robot for the treatment of low back pain disease is designed to help patients recover their lumbar motion. Patients with lumbar injuries are becoming more common and there is a shortage of intelligent rehabilitation equipment. ![]()
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