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Design an easy-to-use infection screening system for non-contact monitoring of vital-signs to prevent the spread of pandemic diseases

机译:设计一种易于使用的感染筛选系统,用于不接触到重要的迹象,以防止大流行疾病的传播

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The outbreak of infectious diseases such as influenza, dengue fever, and severe acute respiratory syndrome (SARS) are threatening the global health. Especially, developing countries in the South-East Asia region have been at serious risk. Rapid and highly reliable screening of infection is urgently needed during the epidemic season at mass gathering places, such as airport quarantine facilities, public health centers, and hospital outpatients units, etc. To meet this need, our research group is currently developing a multiple vital-signs based infection screening system that can perform human medical inspections within 15 seconds. This system remotely monitors facial temperature, heart and respiration rates using a thermopile array and a 24-GHz microwave radar, respectively. In this work, we redesigned our previous system to make a higher performance with a user-friendly interface. Moreover, the system newly included a multivariable logistic regression model (MLRM) to determine the possibility of infection. We tested the system on 34 seasonal influenza patients and 35 normal control subjects at the Japan Self-Defense Forces Central Hospital. The sensitivity and specificity of the screening system using the MLRM were 85.3% and 88.6%, respectively.
机译:传染病如流感,登革热和严重急性呼吸综合征(SARS)的爆发正在威胁到全球健康。特别是,东南亚地区的发展中国家都受到严重风险。在大众聚会场所的疫情季节,如机场检疫设施,公共卫生中心和医院门诊单位等,迫切需要感染的快速和高度可靠的感染筛选。为了满足这种需求,我们的研究小组目前正在开发多重 - 基于的感染筛选系统可以在15秒内进行人体医学检查。该系统分别使用热电堆阵列和24GHz微波雷达远程监测面部温度,心脏和呼吸速率。在这项工作中,我们重新设计了我们以前的系统,以具有用户友好界面的更高性能。此外,该系统新包括多变量逻辑回归模型(MLRM)以确定感染的可能性。我们在34名季节性流感患者中测试了该系统,并在日本自卫部队中央医院的35名正常对照科目。使用MLRM的筛选系统的敏感性和特异性分别为85.3%和88.6%。

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