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首页> 外文期刊>The international journal of medical robotics + computer assisted surgery: MRCAS >Hill-based musculoskeletal model for a fracture reduction robot
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Hill-based musculoskeletal model for a fracture reduction robot

机译:基于山丘的肌肉骨骼模型,用于骨折减少机器人

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Background: The introduction of fracture reduction robot can solve the problem of large reduction forces during fracture reduction surgeries and the need to collect multiple medical images. However, because its safety has not been certified, there are few academic achievements on this type of robot. To calculate the safety factor during its operation, a musculoskeletal model needs to be established to study the constraints of muscles on the robot. The existing academic achievements of musculoskeletal modelling are mainly for application such as rehabilitation treatment and collision in car accidents. Methods: A musculoskeletal model applied to the fracture reduction robot is proposed in this paper. First, by comparing the characteristics of mainstream muscle models and combining the biological characteristics of the anesthetised muscles, the Hill model was selected as the muscle model for this study. Second, based on the motion composition of six spatial degrees of freedom, five basic fractural malposition situations are proposed. Then, a 170-cm tall male musculoskeletal model was built in Opensim. Based on this model, the muscle force curves of the above malposition situations are calculated. Finally, a similar musculoskeletal model was established in Adams, and the accuracy of its muscle force data was tested. The study is approved by the ethics committee of the Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, Beijing, China. Results: The muscle force curve of Opensim and Adams model under situations of five basic malposition are compared. Most of the correlation coefficients are in the range of 0.98-0.99. The overall correlation coefficient is greater than 0.95. Conclusions: The simulation results prove that this model can be used for the safety assessment of the fracture reduction robots. This model will be served as an environmental constraint to study the control of fracture reduction robot.
机译:背景:骨折复位机器人的引入可以解决骨折复位手术中复位力大以及需要采集多幅医学图像的问题。然而,由于其安全性尚未得到认证,关于此类机器人的学术成果很少。为了计算机器人运行过程中的安全系数,需要建立肌肉骨骼模型来研究肌肉对机器人的约束。现有的肌肉骨骼建模的学术成果主要用于康复治疗和车祸中的碰撞等应用。方法:提出一种应用于骨折复位机器人的肌肉骨骼模型。首先,通过比较主流肌肉模型的特点,结合麻醉肌肉的生物学特性,选择希尔模型作为本研究的肌肉模型。其次,基于六个空间自由度的运动合成,提出了五种基本的断裂错位情况。然后,在Opensim中建立了一个170厘米高的男性肌肉骨骼模型。基于该模型,计算了上述错位情况下的肌力曲线。最后,在Adams中建立了相似的肌肉骨骼模型,并对其肌力数据的准确性进行了测试。该研究由中国北京国家康复技术援助研究中心康复医院伦理委员会批准。结果:比较了Opensim和Adams模型在五种基本错位情况下的肌力曲线。大多数相关系数在0.98-0.99之间。总体相关系数大于0.95。结论:仿真结果表明,该模型可用于骨折复位机器人的安全评估。该模型将作为研究骨折复位机器人控制的环境约束。

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