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Sensors (Basel). 2016 Apr 1;16(4):469. doi: 10.3390/s16040469.

Development and Evaluation of Algorithms for Breath Alcohol Screening.

Author information

1
Hök Instrument AB, Flottiljgatan 49, SE-721 31 Västerås, Sweden. jonas.ljungblad@hokinstrument.com.
2
School of Innovation, Design and Engineering, Mälardalen University, Box 883, SE-721 23 Västerås, Sweden. jonas.ljungblad@hokinstrument.com.
3
Hök Instrument AB, Flottiljgatan 49, SE-721 31 Västerås, Sweden. bertil.hok@hokinstrument.com.
4
School of Innovation, Design and Engineering, Mälardalen University, Box 883, SE-721 23 Västerås, Sweden. mikael.ekstrom@mdh.se.

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.

KEYWORDS:

breath alcohol screening; contactless measurement; tracer gas measurement

PMID:
27043576
PMCID:
PMC4850983
DOI:
10.3390/s16040469
[Indexed for MEDLINE]
Free PMC Article

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