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Title: Biosensor method and system based on feature vector extraction

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:
; ; ;
Issue Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1086740
Patent Number(s):
8476062
Application Number:
13/431,664
Assignee:
University of Tennessee Research Foundation (Knoxville, TN); UT-Battelle, LLC (Oak Ridge, TN)
Patent Classifications (CPCs):
C - CHEMISTRY C12 - BIOCHEMISTRY C12Q - MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS
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. Web.
Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, & Wang, Xiaoling. Biosensor method and system based on feature vector extraction. United States.
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.
@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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {7}
}

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