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Dynamic identification of human trunk behavior as a diagnosis tool for pathologic problems

机译:人体躯干行为的动态识别作为病理问题的诊断工具

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For certain trunk pathologies, such as some low back pain cases or functional abnormality, it is difficult to identify with precision the origin of the functional problem which reduces the effectiveness of the chosen treatment. Testing and modeling the trunk behavior under dynamic loads can be used as a mean to help to overcome diagnosis difficulties. In this work, a 3D biomechanical human trunk model was developed taking into account the spine, the rib cage and the unilateral behavior of 174 muscles. The masses of all the human upper body organs were considered with respect to their anatomical positions. The model is used to determine the trunk dynamic equilibrium under external loading and to calculate its flexural stiffness. The transient response calculated by the proposed model is compared with published experimental data for different horizontal directions. The main purpose of the dynamic identification approach is to explain, the relationship between the muscles' properties and the organs mass distributions on one hand, and the global trunk properties and dynamic behavior on the other hand. Therefore, certain trunk pathologies can be simulated to address their dynamic signature in terms of the transient response of the modeled trunk. The followed methodology is based on transient analysis of the trunk motion to non-periodic random excitations in order to detect the passive response of the constituent muscles.
机译:对于某些躯干病理,例如一些低疼痛病例或功能异常,难以精确地识别功能问题的起源,这降低了所选治疗的有效性。在动态负载下测试和建模躯干行为可以用作帮助克服诊断困难的含义。在这项工作中,开发了一种3D生物力学人体主干模型,考虑到脊柱,肋骨和174肌的单侧行为。考虑到它们的解剖位置考虑所有人体内器官的质量。该模型用于确定外部负荷下的行李箱动力平衡,并计算其弯曲刚度。将所提出的模型计算的瞬态响应与不同水平方向的公开的实验数据进行比较。动态识别方法的主要目的是解释,一方面的肌肉属性和器官质量分布之间的关系,另一方面是全球干线属性和动态行为。因此,可以模拟某些中继病理学以根据所建模的主干的瞬态响应来解决其动态签名。遵循的方法基于对非周期性随机激发的瞬态分析,以检测组成肌的被动响应。

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