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

In order to conduct fast screening of passengers with infections such as severe acute respiratory syndrome (SARS) or pandemic influenza at a quarantine depot, we developed a non-contact screening system with self-produced program to conduct a human screening within five seconds, via a linear discrim...

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Bibliographic Details
Published inJournal of medical engineering & technology Vol. 33; no. 6; p. 481
Main Authors Matsui, T, Suzuki, S, Ujikawa, K, Usui, T, Gotoh, S, Sugamata, M, Abe, S
Format Journal Article
LanguageEnglish
Published England 2009
Subjects
Adult
Body Temperature
Diagnostic Imaging - instrumentation
Disease Outbreaks - prevention & control
Heart Rate
Humans
Infection Control - instrumentation
Infection Control - methods
Influenza, Human - diagnosis
Infrared Rays
Laser-Doppler Flowmetry
Male
Mass Screening - instrumentation
Mass Screening - methods
Microwaves
Quarantine
Radar
Respiratory Rate
Severe Acute Respiratory Syndrome - diagnosis
Thermography
Time Factors
Young Adult
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Summary:In order to conduct fast screening of passengers with infections such as severe acute respiratory syndrome (SARS) or pandemic influenza at a quarantine depot, we developed a non-contact screening system with self-produced program to conduct a human screening within five seconds, via a linear discriminant function from non-contact derived variables, i.e. palmer pulse derived from a laser Doppler blood-flow meter, respiration rate determined by a 10-GHz microwave radar, and facial temperature measured by thermography. The system evaluation was conducted on seven healthy male subjects (23 +/- 1 years). In order to achieve a pseudo-infection condition, the subjects maintained an ergometer exercise load (100 W, 10 minutes). Before (normal condition) and after (pseudo-infection condition) exercise, a significant linear discriminant function (p < 0.001) was determined to distinguish pseudo-infection condition from normal condition (Mahalanobis D-square = 20.3, classification error rate <5%). The proposed system appears promising for future application in fast screening of infection at a quarantine depot.
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ISSN:1464-522X
1464-522X
DOI:10.1080/03091900902952675