Title :
Impedimetric biosignal analysis and quantification in a real-time biosensor system
Author :
Messing, Dean S. ; Ghindilis, Andrey ; Schwarzkopf, Kevin
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
We describe our real-time, label-free, electrochemical impedance biosensor system with an emphasis on the use of an impedance response signal model to quantify assays. The signal processing for estimating model parameters from noisy data and the quantitative verification against target concentration and affinity are also presented.
Keywords :
biosensors; electric impedance measurement; electrochemical sensors; parameter estimation; signal processing; electrochemical impedance biosensor system; impedance response signal; impedimetric biosignal analysis; impedimetric biosignal quantification; label free impedance biosensor system; model parameter estimation; real time impedance biosensor system; signal processing; Arrays; Biological system modeling; Biosensors; Impedance; Probes; Signal processing algorithms; Surface impedance; Label-free; affinity biosensor; nonlinear parameter estimation; Algorithms; Biosensing Techniques; Computers; DNA, Single-Stranded; Electric Impedance; Electrochemistry; Electrodes; Equipment Design; Escherichia coli; Kinetics; Nonlinear Dynamics; Signal Processing, Computer-Assisted; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626573
