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Kalman filter based estimation algorithm for the characterization of the spatiotemporal hemodynamic response in the brain

  • Published:2019-08 Issue: Volume:89 Page:180-189
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Belkhatir Zehor,Mechhoud Sarah,Laleg-Kirati Taous Meriem

Funder

King Abdullah University of Science and Technology (KAUST)

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference35 articles.

1. Spatiotemporal hemodynamics: From theory to experiment;Aquino,2012

2. Deconvolution of neural dynamics from fMRI data using a spatiotemporal haemodynamic response function;Aquino;NeuroImage,2014

3. Spatiotemporal hemodynamic response functions derived from physiology;Aquino;Journal of Theoretical Biology,2014

4. Hemodynamic traveling waves in human visual cortex;Aquino;PLoS Computational Biology,2012

5. Dynamic observers as asymptotic limits of recursive filters: Special cases;Baras;SIAM Journal of Applied Mathematics,1988

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1. Drone reference tracking in a non-inertial frame using sliding mode control based Kalman filter with unknown input;2022 IEEE Conference on Control Technology and Applications (CCTA);2022-08-23

2. Kalman Filter Estimation and Its Implementation;Adaptive Filtering - Recent Advances and Practical Implementation;2021-10-20

3. Adaptive bounded bilinear control of coupled first-order 1-D hyperbolic PDEs and infinite ODEs with unknown time-varying source term;International Journal of Control;2020-10-28
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