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Characterization of inspiratory flow limitation during sleep with an exponential model

机译:用指数模型睡眠期间吸气流动限制的特征

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Assessing incidence and severity of inspiratory flow limitation (IFL) is of importance for patients suffering of sleep disordered breathing (Sdb) in order to diagnose a spectrum of different pathologies. In this study a new exponential equation is proposed to characterize the pressure/flow relationship of IFL and non-IFL breaths. Classical and alternative criteria are applied on the model's predictions in order to assess IFL, and its outcome is compared to the outcome of other models. The newly proposed exponential model seems to be promising, as it outperforms other models by achieving a global average sensitivity of 93% and specificity of 91%, and the lowest mean square error when estimating resistance at peak pressure. Additional statistical tests were performed on the exponential model's coefficients in order to determine if a coefficient based classification is possible.
机译:评估吸气流动限制的发病率和严重程度(IFL)对于患睡眠无序呼吸(SDB)的患者的患者是重要的,以便诊断出一种不同病理学的频谱。在本研究中,提出了一种新的指数方程来表征IFL和非IFL呼吸的压力/流动关系。古典和替代标准应用于模型的预测,以便评估IFL,并将其结果与其他模型的结果进行比较。新拟议的指数模型似乎是有希望的,因为它通过在估计峰值压力下电阻时,通过实现93%和91%的特异性的全球平均灵敏度优于其他模型。对指数模型的系数进行额外的统计测试,以确定是否可以进行系数的分类。

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