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

Content Provider	IEEE Xplore Digital Library
Author	Guanghao Sun Nguyen Quang Vinh Matsuoka, A. Miyata, K. Chen, C. Ueda, A. Seokjin Kim Hakozaki, Y. Abe, S. Takei, O. Matsui, T.
Copyright Year	2014
Description	Author affiliation: Dept. of Internal Med., Japan Self-Defense Forces Central Hosp., Tokyo, Japan (Hakozaki, Y.) \|\| Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan (Guanghao Sun; Nguyen Quang Vinh; Matsuoka, A.; Miyata, K.; Chen, C.; Ueda, A.; Seokjin Kim; Matsui, T.) \|\| Takasaka Clinic, Iwaki, Japan (Abe, S.) \|\| R&D Div., Lifetech Co., Ltd., Iruma, Japan (Takei, O.)
Abstract	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.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	4811
Ending Page	4814
File Size	827796
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944700
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Influenza Temperature measurement Diseases Hospitals Heart rate Temperature sensors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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