Lins Christian, Gerka Alexander, Lüpkes Christian, Röhrig Rainer, Hein Andreas
OFFIS - Institute for Information Technology, Div. Health, Oldenburg, Germany.
Carl von Ossietzky University, Dep. Health Services Research, Oldenburg, Germany.
Stud Health Technol Inform. 2018;247:316-320.
In this paper, we present an approach for enhancing the safety of artificially ventilated patients using ambient process analysis. We propose to use an analysis system consisting of low-cost ambient sensors such as power sensor, RGB-D sensor, passage detector, and matrix infrared temperature sensor to reduce risks for artificially ventilated patients in both home and clinical environments. We describe the system concept and our implementation and show how the system can contribute to patient safety.
在本文中，我们提出一种利用环境过程分析来提高人工通气患者安全性的方法。我们建议使用一个由低成本环境传感器组成的分析系统，如功率传感器、RGB-D传感器、通道探测器和矩阵红外温度传感器，以降低家庭和临床环境中人工通气患者的风险。我们描述了系统概念和我们的实现方式，并展示了该系统如何有助于患者安全。
