首页> 外文会议>2011 IEEE Global Humanitarian Technology Conference : Technology for the Benefit of Humanity >Automated Validation of Capillary Refill Time Measurements Using Photo-Plethysmogram from a Portable Device for Effective Triage in Children
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Automated Validation of Capillary Refill Time Measurements Using Photo-Plethysmogram from a Portable Device for Effective Triage in Children

机译:使用便携式心律失常图从便携式设备对儿童进行有效分流的毛细管充盈时间测量值的自动验证

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Capillary refill time (CRT) is an important tool for the clinical assessment of trauma and dehydration. Indeed, it has been incorporated into advanced life support guidelines as part of the rapid assessment of critically ill patients. However, digitalized CRT techniques are not readily available and the standard assessment based on the visual inspection of CRT lacks standardization and is prone to a high inter-observer variability. We present an algorithm for the automatic validation of the CRT measurement on the finger using photo-plethysmogram recordings on a small portable device. It is based on a set of deterministic rules for the classification of finger pressure and regular plethysmographic pulses. Validation studies using the classification of 93 pediatric recordings from Canada and Uganda showed that the novel algorithm reliably detects invalid CRT measurements (sensitivity 98.4%). This includes patterns such as insufficient pressure, low perfusion signals, and artifacts. Since our device consists of widely available components already in use, the promising results suggest that the algorithm could be readily integrated in operating rooms and intensive care units around the world. This more robust assessment of CRT would produce a more powerful diagnostic tool for clinical triage in critical care settings.
机译:毛细血管补充时间(CRT)是临床评估创伤和脱水的重要工具。实际上,它已被纳入高级生命支持指南中,作为对重症患者的快速评估的一部分。但是,数字化的CRT技术尚不可用,并且基于CRT外观检查的标准评估缺乏标准化,而且观察者之间的差异也很大。我们提出了一种使用小型便携式设备上的光电容积描记图记录自动验证手指上的CRT测量的算法。它基于一组确定性规则,用于对手指压力和规则体积描记脉冲进行分类。使用来自加拿大和乌干达的93个儿科记录的分类进行的验证研究表明,该新算法可靠地检测出无效的CRT测量值(灵敏度为98.4%)。这包括诸如压力不足,低灌注信号和伪影之类的模式。由于我们的设备由已经使用的广泛使用的组件组成,因此有希望的结果表明,该算法可以很容易地集成到全球的手术室和重症监护室中。对CRT的这种更可靠的评估将为重症监护环境中的临床分类提供更强大的诊断工具。

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