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Description
  • We proposed a new procedure which allows the nonlinear estimation of the physiological states and parameters of the hemodynamic model from blood oxygen level dependent (BOLD) responses. This method which combines the cubature Kalman filter and the particle filter provides more accurate estimate of the hemodynamics compared to individual utilization of these filters. The performance of our approach is demonstrated on simulated data.
  • We proposed a new procedure which allows the nonlinear estimation of the physiological states and parameters of the hemodynamic model from blood oxygen level dependent (BOLD) responses. This method which combines the cubature Kalman filter and the particle filter provides more accurate estimate of the hemodynamics compared to individual utilization of these filters. The performance of our approach is demonstrated on simulated data. (en)
Title
  • Nonlinear estimation of BOLD signal based on cubature particle filter
  • Nonlinear estimation of BOLD signal based on cubature particle filter (en)
skos:prefLabel
  • Nonlinear estimation of BOLD signal based on cubature particle filter
  • Nonlinear estimation of BOLD signal based on cubature particle filter (en)
skos:notation
  • RIV/00216305:26220/10:PU87300!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 275038
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU87300
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • functional, effective, connectivity, dynamic causal modelling, DCM, independent component analysis, ICA, principal componenet analysis, PCA, correlation analysis, fMRI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [53A2C0860687]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno, Czech Republic
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jan, Jiří
  • Brázdil, Milan
  • Calhoun, V. D.
  • Havlíček, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4106-4
http://localhost/t...ganizacniJednotka
  • 26220
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