Automatic Detection of Endotracheal Intubation During the Anesthesia Procedure.
Automatic Detection of Endotracheal Intubation During the Anesthesia Procedure.
复制标题
麻醉过程中气管插管的自动检测。
DOI：
10.1115/1.4033864
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Nataraj,C
中科院分区：
文献类型：
--
作者：
Jalali,Ali;Rehman,Mohamed;Lingappan,Arul;Nataraj,C
本文研究了小儿全麻手术中气管内插管的数学建模和检测。在大型儿科手术中，通常使用气管内导管（ETT）固定气道，然后开始机械通气。临床医生利用呼吸音听诊和二氧化碳监测来验证气管插管的正确放置。然而，麻醉提供者经常延迟ET插管的及时制图。事件记录中的这种延迟导致临床决策支持系统的功效降低。为了解决这个问题，我们收集了真实的住院患者数据，并设计了一种算法，在临床有效范围内准确检测插管时间;结果表明，我们能够在96%以上的病例中实现高准确率。因此，ET插管时间的自动检测将增强更好的实时数据捕获，以支持临床决策支持系统的未来改进。
This paper is concerned with the mathematical modeling and detection of endotracheal (ET) intubation in children under general anesthesia during surgery. In major pediatric surgeries, the airway is often secured with an endotracheal tube (ETT) followed by initiation of mechanical ventilation. Clinicians utilize auscultation of breath sounds and capnography to verify correct ETT placement. However, anesthesia providers often delay timely charting of ET intubation. This latency in event documentation results in decreased efficacy of clinical decision support systems. In order to target this problem, we collected real inpatient data and designed an algorithm to accurately detect the intubation time within the clinically valid range; the results show that we are able to achieve high accuracy in more than 96% of the cases. Automatic detection of ET intubation time would thus enhance better real-time data capture to support future improvement in clinical decision support systems.