Personalized biomechanical model construction method and apparatus

By constructing personalized biomechanical models and combining anatomical structure and motor function data, and iteratively optimizing parameters, the problems of insufficient personalization and accuracy of biomechanical models have been solved, resulting in more accurate biomechanical reports and disease diagnoses.

CN122417435APending Publication Date: 2026-07-17SICHUAN UNIV
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Patent Information

Application Number
CN202610507064.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing biomechanical models lack personalization, resulting in low accuracy and difficulty in accurately identifying disease-related mechanical abnormalities.

Method used

By acquiring anatomical and kinematic data of the target object, an initial three-dimensional geometric model is constructed, and a primary biomechanical model is generated by combining the material constitutive relation. Through iterative optimization of kinematic and dynamic parameters, the simulated mechanical data is made to match the actual acquired data, thus generating a personalized biomechanical model.

Benefits of technology

It improves the personalization and accuracy of biomechanical models, enabling accurate quantitative identification of key biomechanical abnormalities related to diseases, and providing more accurate diagnostic and treatment options.

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Abstract

本发明提供一种基于个性化的生物力学模型构建方法及设备,包括获取目标对象的解剖结构数据构建初始三维几何模型,获取运动功能数据提取在特定动作模式下的运动与动力学参数;将运动与动力学参数作为边界条件与载荷输入,赋予初始三维几何模型基于材料本构关系的力学属性,生成初级生物力学模型;计算初级生物力学模型在模拟执行特定动作时的内部力学状态得到模拟仿真力学数据;比对模拟仿真力学数据与真实采集力学数据,若比对结果表征模拟仿真误差不满足阈值条件调整运动与动力学参数;重新执行将运动与动力学参数作为边界条件与载荷输入至比对模拟仿真力学数据与真实采集力学数据的步骤,直到模拟仿真误差满足阈值条件得到个性化生物力学模型。
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