• DocumentCode
    3752871
  • Title

    Joint variational Bayesian extended Kalman filter for the estimation of the metabolic/hemodynamic model

  • Author

    Boureghda Mohammed;Bouden Toufik

  • Author_Institution
    NDT Laboratory, Automatic Department, Jijel University, BP098, Ouled-Aissa, 18000, Algeria
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with a state space approach based on metabolic hemodynamic model (MHM) for Blood Oxygenation Level Dependent (BOLD) signal measured using functional Magnetic Resonance Imaging (fMRI). The proposed approach is based on the extended Kalman filter to infer the hidden states and parameters. Furthermore The extended kalman filter is enhanced by variational Bayesian approach for the estimation of the measurement noise.
  • Keywords
    "Mathematical model","Kalman filters","Estimation","Noise measurement","Hemodynamics","Bayes methods","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/INTEE.2015.7416725
  • Filename
    7416725
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3752871