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Iruma, Japan

Sun G.,Tokyo Metroplitan University | Matsuoka A.,Tokyo Metroplitan University | Miyata K.,Tokyo Metroplitan University | Vinh N.Q.,Tokyo Metroplitan University | And 7 more authors.
Transactions of Japanese Society for Medical and Biological Engineering | Year: 2014

The outbreak of infectious diseases are threatening global health. At mass gathering places, such as, airport quarantine facilities, public health centers, and hospital outpatients units, rapid and highly reliable screening methods of infection are urgently needed during the epidemic season for preventing the spread of infection. In order to meet this need, we developed a multiple vital-signs based infection screening system that can perform medical inspections within 10 seconds. This screening system monitors not only body temperature but also heart and respiration rates. By using these three vital-signs, the detection accuracy of the system improved significantly. © 2014, Japan Soc. of Med. Electronics and Biol. Engineering. All rights reserved.


Sun G.,Tokyo Metroplitan University | Vinh N.Q.,Tokyo Metroplitan University | Matsuoka A.,Tokyo Metroplitan University | Miyata K.,Tokyo Metroplitan University | And 7 more authors.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 | Year: 2014

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. © 2014 IEEE.


Sun G.,Tokyo Metroplitan University | Abe S.,Takasaka Clinic | Takei O.,LIFETECH Co. | Hakozaki Y.,Japan Self Defense Forces Central Hospital | Matsui T.,Tokyo Metroplitan University
Communications in Computer and Information Science | Year: 2011

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. © 2011 Springer-Verlag.


Sun G.,Tokyo Metroplitan University | Matsui T.,Tokyo Metroplitan University | Kim S.,Tokyo Metroplitan University | Takei O.,LIFETECH Co.
2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 | Year: 2014

The outbreak of infectious diseases such as swine flu (H1N1) and avian flu (H5N1) are threatening global health. Especially, developing countries in the South-East Asia region have been at serious risk. Rapid and reliable screening methods are urgently needed for preventing the spread of infection at mass gathering places such as, airport quarantine facilities and hospital outpatient units. In order to meet this need, we developed a multiple vital-signs based infection screening system (KAZEKAMO) that can perform medical inspections within 15 seconds. The system monitors not only body temperature but also heart and respiration rates. By using these three vital-signs, the detection accuracy of the system improved significantly. © 2014 IEEE.


Hayakawa Y.,Nagahama Institute of Bio-Science and Technology | Matsuno M.,Nagahama Institute of Bio-Science and Technology | Tanaka M.,Nagahama Institute of Bio-Science and Technology | Wada A.,Nagasaki University | And 5 more authors.
Journal of Peptide Science | Year: 2015

Artificial peptides designed for molecular recognition of a bacterial toxin have been developed. Vacuolating cytotoxin A protein (VacA) is a major virulence factor of Helicobacter pylori, a gram-negative microaerophilic bacterium inhabiting the upper gastrointestinal tract, particularly the stomach. This study attempted to identify specific peptide sequences with high affinity for VacA using systematic directed evolution in vitro, a cDNA display method. A surface plasmon resonance-based biosensor and fluorescence correlation spectroscopy to examine binding of peptides with VacA identified a peptide (GRVNQRL) with high affinity. Cyclization of the peptide by attaching cysteine residues to both termini improved its binding affinity to VacA, with a dissociation constant (Kd) of 58nm. This study describes a new strategy for the development of artificial functional peptides, which are promising materials in biochemical analyses and medical applications. Copyright © 2015 European Peptide Society and John Wiley & Sons, Ltd.

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