CORELSA - 用于对大量呼吸综合征患者进行快速、标准化听诊的远程听诊器系统

Kris Ides, Arne Aerts, Rens baeyens, Niels Balemans, Tom Bosschaerts, Jonathan Cazaerck, David Ceulemans, Fons De Mey, Wouter Jansen, Robin Kerstens, Dennis Laurijssen, Eline Lauwers, Anthony Schenck, Girmi Schouten, Ralph Simon, Thomas Verellen, Erik Verreycken, Philippe Jorens, Stijn Verhulst, Walter Daems, Jan Steckel
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摘要

目前 COVID-19 大流行的主要影响之一是给重症监护室带来巨大压力。由于典型的 SARS-CoV-2 感染通常会导致严重的急性呼吸综合征,因此最基本的必要检查之一就是肺部听诊。听诊器可评估不同类别的肺部听诊音,如噼啪声、喘息声、啰音和粗重呼吸音。每一种肺部恶性听诊音都有助于对患者的呼吸道和肺部进行临床评估和随访,并可预示肺炎的发展。因此,定期进行听诊是必不可少的,但这也需要医生花费大量时间。此外,由于医护人员存在感染风险,安全使用听诊器变得越来越困难,有时甚至不可能。在此,我们介绍一种远程听诊器系统,它有助于减轻医生和护士的工作量,降低污染风险,使听诊更加标准化,而且还可以存储和重新评估。我们详细介绍了我们的系统,该系统由成本低廉的部件组成,这些部件在世界上大多数地方都很容易买到,或者可以用 3D 打印出来。我们提供了运行该系统的说明和开放源码软件栈,可以从中央计算机对大量患者进行远程听诊。我们相信,本文所描述的系统可以让各种机构复制该系统,并提高世界各地重症监护室的安全性和减少总体工作量。
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CORELSA - Remote stethoscope system for fast and standardized auscultations of large numbers of patients with respiratory syndromes
One of the major impacts of the current COVID-19 pandemic is the immense strain that is being put on the intensive care units. As a typical SARS-CoV-2 infection often leads to severe acute respiratory syndromes, one of the most basic essential examinations is lung auscultation. There are different categories of lung sounds that can be assessed with a stethoscope like crackles, wheezes, rhonchi and coarse breath sounds. Each of these malicious lung sounds contribute to a clinical assessment and follow-up of the patient's airways and lungs and can indicate the development of pneumonia. Therefore, auscultation on a regular basis is essential, but it also takes a lot of time for the physicians. Moreover, because of the risk of infection for health care workers, it is becoming increasingly difficult or sometimes impossible to safely use a stethoscope. Here we introduce a remote stethoscope system that can help to reduce the workload of physicians and nurses, diminishes the risk of contamination and leads to more standardized auscultation, which can also be stored and reevaluated. We provide a detailed description of our system, which consists of parts that are low cost, easily available in most parts of the world, or can be 3D printed. We provide instructions and an open source software stack to run such a system for a large number of patients which can be remotely auscultated from a central computer. We believe that the system described in this paper can allow various institutes to replicate the system, and increase the safety and reduce the overall workload in the intensive care units around the world.
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