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Sensors 2016, 16(4), 469; doi:10.3390/s16040469

Development and Evaluation of Algorithms for Breath Alcohol Screening

1
Hök Instrument AB, Flottiljgatan 49, SE-721 31 Västerås, Sweden
2
School of Innovation, Design and Engineering, Mälardalen University, Box 883, SE-721 23 Västerås, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Alexander Star
Received: 8 December 2015 / Revised: 29 March 2016 / Accepted: 30 March 2016 / Published: 1 April 2016
(This article belongs to the Section Biosensors)
View Full-Text   |   Download PDF [1021 KB, uploaded 1 April 2016]   |  

Abstract

Breath alcohol screening is important for traffic safety, access control and other areas of health promotion. A family of sensor devices useful for these purposes is being developed and evaluated. This paper is focusing on algorithms for the determination of breath alcohol concentration in diluted breath samples using carbon dioxide to compensate for the dilution. The examined algorithms make use of signal averaging, weighting and personalization to reduce estimation errors. Evaluation has been performed by using data from a previously conducted human study. It is concluded that these features in combination will significantly reduce the random error compared to the signal averaging algorithm taken alone. View Full-Text
Keywords: breath alcohol screening; contactless measurement; tracer gas measurement breath alcohol screening; contactless measurement; tracer gas measurement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ljungblad, J.; Hök, B.; Ekström, M. Development and Evaluation of Algorithms for Breath Alcohol Screening. Sensors 2016, 16, 469.

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