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Extraction and Selection of Parameters for Evaluation of Breath Alcohol Measurement with an Electronic Nose by Nils Paulsson; Elisabeth Larsson; Fredrik Winquist is a Engineering article available to read on EtoBox.

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The ethanol concentration in realistic breath samples was analyzed using an electronic nose. Conditions were selected so that the samples would reflect those collected in a real drunk driver situation. Hence, parameters such as intake of food and beverage, tobacco habits, as well as the order of participating volunteers were allowed to be variable. The setup was unexpectedly robust towards inter-and Ž . intrapersonal variations in breath samples as well as long-term variations. The standard error 16 mol ppm was the limiting factor but the Ž . Ž . statistical detection limit was well below 0.1 ppm. The standard error corresponds to between 9% Austria and 36% Sweden of lowest legally accepted levels. Even though this is regarded as a significant error, there are several options of optimization. Incorporating feature extraction and forward selection together with artificial neural network for prediction of the ethanol concentration showed, besides increasing the accuracy, to be a valuable tool generating feedback of possible improvements of the sensor array.

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Author

Nils Paulsson; Elisabeth Larsson; Fredrik Winquist

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0924-4247)

Published

2000

Language

EN

Field

Engineering (Physical Sciences)