Spirometry, which is the most commonly used technique for asthma diagnosis, is often unsuitable for small children as it requires them to follow exact instructions and perform extreme inspiration and expiration maneuvers. In contrast, impulse oscillometry (IOS) is a child-friendly technique that could serve as an alternative pulmonary function test (PFT) for asthma diagnosis and control in children as it offers several advantages over spirometry. However, the complex test results of IOS may be difficult to be understood by practitioners due to its reliance on mechanical and electrical models of the human pulmonary system. Recognizing this reality, computer-aided decision systems could help to improve the utility of IOS. The main objective of this paper is to understand the current computer-aided classification research works on this topic.

中文翻译：

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使用脉冲示波法功能对小气道功能障碍进行计算机辅助分类：以儿童为中心的综述。

肺活量测定法是哮喘诊断中最常用的技术，通常不适合小孩使用，因为它要求他们遵循确切的说明并进行极端的吸气和呼气动作。相比之下，脉冲示波法（IOS）是一种对儿童友好的技术，可以替代肺功能测试（PFT）来诊断和控制儿童的哮喘，因为它比肺活量计具有多个优势。但是，由于IOS依赖于人肺系统的机械和电气模型，因此可能难以理解IOS的复杂测试结果。认识到这一现实，计算机辅助决策系统可以帮助提高IOS的效用。本文的主要目的是了解有关此主题的当前计算机辅助分类研究工作。