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Computational simulation of human upper airway collapse using a pressure-/state-dependent model of genioglossal muscle contraction under laminar flow conditions

机译:在层流条件下使用g舌肌收缩的压力/状态相关模型对人类上呼吸道塌陷的计算模拟

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摘要

A three-element, pressure- and state (sleep and wake) -dependent contraction model of the genioglossal muscle was developed based on the microstructure of skeletal muscle and the cross-bridge theory. This model establishes a direct connection between the contractile forces generated in muscle fibers and the measured electromyogram signals during various upper airway conditions. This effectively avoids the difficulty of determining muscle shortening velocity during complex pharyngeal conditions when modeling the muscle’s contractile behaviors. The activation of the genioglossal muscle under different conditions was then simulated. A sensitivity analysis was performed to determine the effects of varying each modeled parameter on the muscle’s contractile behaviors. This muscle contraction model was then incorporated into our anatomically correct, two-dimensional computational model of the pharyngeal airway to perform a finite-element analysis of air flow, tissue deformation, and airway collapse. The model-predicted muscle deformations are consistent with previous observations regarding upper airway behavior in normal subjects.
机译:基于骨骼肌的微观结构和跨桥理论,开发了一种三元,压力和状态(睡眠和唤醒)相关的the舌肌收缩模型。该模型在各种上呼吸道状况期间,在肌肉纤维中产生的收缩力与测得的肌电图信号之间建立了直接联系。这有效避免了在建模肌肉的收缩行为时,在复杂的咽喉条件下确定肌肉缩短速度的困难。然后模拟了在不同条件下舌肌的激活。进行了敏感性分析,以确定改变每个模型参数对肌肉的收缩行为的影响。然后将此肌肉收缩模型并入我们咽部气道的解剖学正确二维计算模型中,以对气流,组织变​​形和气道塌陷进行有限元分析。模型预测的肌肉变形与之前关于正常受试者上呼吸道行为的观察结果一致。

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