2.Motion Trajectory of 3-PH/R Ankle Rehabilitation Robot
Zongxing LU ; Xiangwen WEI ; Can CAI
Journal of Medical Biomechanics 2021;36(1):E110-E115
Objective To study the influence of different trajectories of 3-PH/R ankle rehabilitation robot on joints and muscles. Methods The 3-PH/R ankle rehabilitation robot was simplified and imported into biomechanical modeling software by analyzing the kinematics principles. Using the actual motion trajectory of ankle rehabilitation robot as model driving, the joint and muscle forces were compared under three different trajectories, namely, dorsiflexion/plantarflexion, inversion/eversion and nutation. The correlation analysis on three motion trajectories was conducted. Results Nutation could satisfy the function of both plantar dorsiflexion/plantarflexion, and inversion/eversion, and made the ankle muscles fully exercised. The maximum difference in joint force under three different rehabilitation trajectories was 0.3 N. Different muscles had different sensitivity to trajectories. Conclusions The continuous dynamic analysis of muscle force and joint force under three kinds of rehabilitation trajectories was implemented. The results have certain theoretical significance and clinical reference value for the clinical application of ankle rehabilitation robot and the formulation of rehabilitation trajectory.
3.Numerical Simulation on Support Performance of NiTi Alloy Thoracic Aortic Stent
Xiangwen CAI ; Qingsong HAN ; Qingxiang ZHANG ; Xiaojuan FENG ; Yu XUE
Journal of Medical Biomechanics 2020;35(4):E410-E414
Objective To study the influence of different support heights, support numbers and cross-sectional dimensions on support performance of NiTi thoracic aortic stents. Methods Twenty-seven scaffold models with different parameters were established by using AutoCAD 2016 and SoildWorks 2014 software. HyperMesh 14.0 was used for tetrahedral mesh division, and ABAQUS 2017 was used for support performance simulation analysis. Results With the decrease of support height, the support stiffness would increase; a larger cross-section size would lead to a larger support stiffness; with the increase of support numbers, the support stiffness would increase. Among the influencing factors of support performance, the order of influence degree was support height>section size>support numbers. Conclusions The research findings have certain guiding significance for the development and research of thoracic aortic stents, and provide theoretical basis for the selection and optimization of clinical stents.