Abstract

This paper proposes a methodology based on Bayesian decision theory and electrochemical impedance spectroscopy for rapid and reliable detection of Salmonella typhimurium bacteria. The proposed technique has been validated using a cost-effective and portable biosensor. Results indicate a detection time of approximately 6 minutes (5 minutes for data acquisition;1 minute for analysis) for pre-infectious bacterial concentrations. The technique has demonstrated high accuracy and can be generalized for the detection of other pathogens with healthcare relevance. Furthermore, the technique has a low computational complexity and is therefore well-suited for use in hand-held pathogen detectors.

Original languageEnglish (US)
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages1979-1981
Number of pages3
DOIs
StatePublished - Dec 1 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: Oct 26 2008Oct 29 2008

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period10/26/0810/29/08

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Nandakumar, V., LaBelle, J., & Alford, T. (2008). Signal processing for rapid bacterial detection. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 (pp. 1979-1981). [5074777] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2008.5074777