A Novel Non-contact Infection Screening System Based on Self-Organizing Map with K-means Clustering
This paper aims to evaluate the efficacy of our non-contact infection screening system which uses Kohonen’s self-organizing map (SOM) with Kmeans clustering algorithm. In this study, the linear discriminant analysis (LDA) used in our previous system was replaced by SOM with K-means clustering algorithm to increase accuracy. The system simultaneously measures heart rate, respiratory rate, and facial skin temperature. The evaluation was done using the same data which we used in our previous study. The data was based on the test on 57 influenza patients and 35 normal control subjects at Japan Self-defense Forces Central Hospital. The system showed higher sensitivity of 98% and negative predictive value (NPV) of 96% compared to our previous system (sensitivity of 89%, NPV of 83%). The system can be used as a public health measure at points of entry where high sensitivity is most required in order to prevent the spread of the pandemic.
KeywordsScreening infection self-organizing map K-means thermography heart rate respiratory rate microwave radar
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- 1.World Health Organization: Communicable Disease Surveillance and Response: Severe Acute Respiratory Syndrome (SARS): Status of the outbreak and lessons for the immediate future, Geneva (2003)Google Scholar
- 6.Matsui, T., Suzuki, S., Ujikawa, K., Usui, T., Gotoh, S., Sugamata, M.: The development of a non-contact screening system for rapid medical inspection at a quarantine depot using a laser Doppler blood-flow meter, microwave radar and infrared thermography. J. Med. Eng. Technol. 33(6), 481–487 (2009)CrossRefGoogle Scholar
- 11.Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J.: Self-organizing map in Matlab: the SOM Toolbox. In: Proceedings of the Matlab DSP Conference, pp. 16–17 (1999)Google Scholar
- 12.MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297 (1967)Google Scholar
- 13.Bitar, D., Goubar, A., Desenclos, J.C.: International travels and fever screening during epidemics: a literature review on the effectiveness and potential use of non-contact infrared thermometers. Eurosurveillance 12, 1–5 (2009)Google Scholar