Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5745
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dc.contributor.authorZeng, N-
dc.contributor.authorWang, Z-
dc.contributor.authorLi, Y-
dc.contributor.authorDu, M-
dc.contributor.authorLiu, X-
dc.date.accessioned2011-02-04T15:31:48Z-
dc.date.accessioned2011-08-19T11:37:51Z-
dc.date.available2011-08-19T11:37:51Z-
dc.date.issued2011-
dc.identifier.citationIEEE Transactions on Biomedical Engineering, 58(7): 1959-1966, 2011en_US
dc.identifier.issn0018-9294-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/5745-
dc.description.abstractIn this paper, a mathematical model for sandwich-type lateral flow immunoassay is developed via short available time series. A nonlinear dynamic stochastic model is considered that consists of the biochemical reaction system equations and the observation equation. After specifying the model structure, we apply the extended Kalman filter (EKF) algorithm for identifying both the states and parameters of the nonlinear state-space model. It is shown that the EKF algorithm can accurately identify the parameters and also predict the system states in the nonlinear dynamic stochastic model through an iterative procedure by using a small number of observations. The identified mathematical model provides a powerful tool for testing the system hypotheses and also for inspecting the effects from various design parameters in both rapid and inexpensive way. Furthermore, by means of the established model, the dynamic changes in the concentration of antigens and antibodies can be predicted, thereby making it possible for us to analyze, optimize, and design the properties of lateral flow immunoassay devices.en_US
dc.languageEN-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.replaceshttp://bura.brunel.ac.uk/handle/2438/4726-
dc.relation.replaces2438/4726-
dc.subjectExtended Kalman filtering (EKF)en_US
dc.subjectGold immunochromatographic stripen_US
dc.subjectLateral flow immunoassayen_US
dc.subjectMathematical modelen_US
dc.subjectParameter estimationen_US
dc.titleInference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filteringen_US
dc.typeResearch Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TBME.2011.2106502-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel (Active)-
pubs.organisational-data/Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Research Centres (RG)-
pubs.organisational-data/Brunel/Research Centres (RG)/CIDA-
pubs.organisational-data/Brunel/Research Centres (RG)/CIKM-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)/CIDA-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM-
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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