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首页> 外文会议>Proceedings of the 17th IASTED international conference on robotics applications ; Proceedings of the 11th IASTED international conference on biomedical engineering >BIODYNAMIC VERIFICATION OF AN ESTIMATED MUSCULAR ACTIVITY MODEL FOR ORTHOSIS PRESCRIPTION SUPPORT SYSTEMS
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BIODYNAMIC VERIFICATION OF AN ESTIMATED MUSCULAR ACTIVITY MODEL FOR ORTHOSIS PRESCRIPTION SUPPORT SYSTEMS

机译：矫治器处方支持系统估计的肌肉活动模型的生物动力验证

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摘要

In this paper, we performed biodynamic verification of a muscular activity model using Bayes estimation. In creating this model, we aimed to enable quantitative selection of lower foot orthoses based on a patient's muscular activity in the lower foot. Because physical models require the use of large-scale measurement systems, which cannot be used clinically, they are not suitable for making these measurements. Therefore, we chose Bayes estimation to construct a model for estimating the muscular activity from parameters that can be measured easily, such as joint angle and sole pressure. This model allows for not only the estimation of muscle activity, but also another closely related parameter through the change in muscular activity, which is a parent node to the muscle activity node. The three advantages of our model are that it 1) reports the influences on muscle activity, which change throughout the gait cycle, by using 10% level nodes for each factor; 2) expresses the influence of those factors, which are different at low and high muscular activity levels; and 3) compensates for missed predictions by estimating muscle activity in 10% increments. Here, we verify the biodynamic validity of the model parent node for four foot muscles.
机译：在本文中，我们使用贝叶斯估计对肌肉活动模型进行了生物动力验证。在创建此模型时，我们旨在根据患者下脚的肌肉活动来定量选择下脚矫形器。由于物理模型需要使用无法在临床上使用的大规模测量系统，因此它们不适合进行这些测量。因此，我们选择贝叶斯估计来构建一个模型，该模型从易于测量的参数（例如关节角度和足底压力）中估计肌肉活动。该模型不仅可以估计肌肉活动，还可以通过肌肉活动的变化来估计另一个紧密相关的参数，该参数是肌肉活动节点的父节点。我们模型的三个优点是：1）通过为每个因素使用10％的水平结点来报告对肌肉活动的影响，这些影响在整个步态周期中都会改变； 2）表示这些因素的影响，在低水平和高水平的肌肉活动水平上均不同；和3）通过以10％的增量估算肌肉活动来补偿错过的预测。在这里，我们验证了模型父节点对于四只脚肌肉的生物动力有效性。

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