Biosensor method and system based on feature vector extraction

Title: Biosensor method and system based on feature vector extraction

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Abstract

A system for biosensor-based detection of toxins includes providing at least one time-dependent control signal generated by a biosensor in a gas or liquid medium, and obtaining a time-dependent biosensor signal from the biosensor in the gas or liquid medium to be monitored or analyzed for the presence of one or more toxins selected from chemical, biological or radiological agents. The time-dependent biosensor signal is processed to obtain a plurality of feature vectors using at least one of amplitude statistics and a time-frequency analysis. At least one parameter relating to toxicity of the gas or liquid medium is then determined from the feature vectors based on reference to the control signal.

Inventors:: Greenbaum, Elias; Rodriguez, Jr., Miguel; Qi, Hairong; Wang, Xiaoling

Publication Date:: 2013-07-02

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1086740

Patent Number(s):: 8,476,062

Application Number:: 13/431,664

Assignee:: University of Tennessee Research Foundation (Knoxville, TN); UT-Battelle, LLC (Oak Ridge, TN)

DOE Contract Number:: AC05-00OR22725

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION

Citation Formats


                    Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, and Wang, Xiaoling. Biosensor method and system based on feature vector extraction.  United States: N. p., 2013. 
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                    Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, & Wang, Xiaoling. Biosensor method and system based on feature vector extraction.  United States.

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                    Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, and Wang, Xiaoling. Tue .  
        "Biosensor method and system based on feature vector extraction".  United States.  https://www.osti.gov/servlets/purl/1086740.

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@article{osti_1086740,

  title        = {Biosensor method and system based on feature vector extraction},

  author       = {Greenbaum, Elias and Rodriguez, Jr., Miguel and Qi, Hairong and Wang, Xiaoling},

  abstractNote = {A system for biosensor-based detection of toxins includes providing at least one time-dependent control signal generated by a biosensor in a gas or liquid medium, and obtaining a time-dependent biosensor signal from the biosensor in the gas or liquid medium to be monitored or analyzed for the presence of one or more toxins selected from chemical, biological or radiological agents. The time-dependent biosensor signal is processed to obtain a plurality of feature vectors using at least one of amplitude statistics and a time-frequency analysis. At least one parameter relating to toxicity of the gas or liquid medium is then determined from the feature vectors based on reference to the control signal.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1086740},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {7}

}

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