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Bacteria classification based on feature extraction from sensor data
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
SIK, The Swedish Institute for Food and Biotechnology, Ideon Lund.
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics. Linköping University, The Institute of Technology.
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1998 (English)In: Biotechnology techniques, ISSN 0951-208X, E-ISSN 1573-6784, Vol. 12, no 4, 319-324 p.Article in journal (Refereed) Published
Abstract [en]

Data evaluation and classification have been made on measurements by an electronic nose on the headspace of samples of different types of bacteria growing on petri dishes. The chosen groups were: Escherichia coli, Enterococcus sp., Proteus mirabilis, Pseudomonas aeruginosa, and Staphylococcus saprophytica. An approximation of the response curve by time was made and the parameters in the curve fit were taken as important features of the data set. A classification tree was used to extract the most important features. These features were then used in an artificial neural network for classification. Using the ‘leave-one-out’ method for validating the model, a classification rate of 76% was obtained

Place, publisher, year, edition, pages
Kluwer Academic Publishers, 1998. Vol. 12, no 4, 319-324 p.
Keyword [en]
Sensor data, Bacterial growth
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-56373DOI: 10.1023/A:1008862617082OAI: oai:DiVA.org:liu-56373DiVA: diva2:318469
Available from: 2010-05-07 Created: 2010-05-07 Last updated: 2017-12-12Bibliographically approved

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Holmberg, MartinGustafsson, FredrikWinquist, FredrikNilsson, Lennart E.Ljung, LennartLundström, Ingemar

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Holmberg, MartinGustafsson, FredrikWinquist, FredrikNilsson, Lennart E.Ljung, LennartLundström, Ingemar
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Applied PhysicsThe Institute of TechnologyAutomatic ControlClinical MicrobiologyFaculty of Health Sciences
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Biotechnology techniques
Engineering and Technology

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CiteExportLink to record
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  • apa
  • harvard1
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  • de-DE
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