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Bacteria classifica...
Bacteria classification based on feature extraction from sensor data
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- Holmberg, Martin (author)
- Linköpings universitet,Tillämpad Fysik,Tekniska högskolan
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- Gustafsson, Fredrik (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Hörnsten, Gunnar (author)
- SIK, The Swedish Institute for Food and Biotechnology, Ideon Lund
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- Winquist, Fredrik (author)
- Linköpings universitet,Tillämpad Fysik,Tekniska högskolan
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- Nilsson, Lennart E. (author)
- Linköpings universitet,Klinisk mikrobiologi,Hälsouniversitetet
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- Ljung, Lennart (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Lundström, Ingemar (author)
- Linköpings universitet,Tillämpad Fysik,Tekniska högskolan
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(creator_code:org_t)
- Kluwer Academic Publishers, 1998
- 1998
- English.
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In: Biotechnology Techniques. - : Kluwer Academic Publishers. - 0951-208X .- 1573-6784. ; 12:4, s. 319-324
- Related links:
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http://www.scopus.co...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
Close
- 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
Subject headings
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Livsmedelsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Food Science (hsv//eng)
Keyword
- Sensor data
- Bacterial growth
Publication and Content Type
- ref (subject category)
- art (subject category)
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