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Application of the Kalman Filter in Functional Magnetic Resonance Image Data

Authors
DOI:
https://doi.org/10.31686/ijier.vol8.iss9.2657
Keywords:
Array, Array, Array, Array
Abstract

The Kalman-Bucy filter was applied on the preprocessing of the functional magnetic resonance image-fMRI. Numerical simulations of hemodynamic response added Gaussian noise were performed to evaluate the performance of the filter. After the proceeding was applied in auditory real data. The Kohonen’s self-organized map was employed as tools to compare the performance of the Kalman’s filter with another type of pre-processing. The results of the application of Kalman-Bucy filter for simulated data and real auditory data showed that it can be used as a tool in the temporal filtering step in fMRI data.

Author Biographies
  1. Valcir J. da C. Farias, Federal University of Pará – Brazil

    Faculty of Statistics- Institute of Exact and Natural Sciences

  2. Marcus P. C. Rocha, Federal University of Pará – Brazil

    Faculty of Mathematics- Institute of Exact and Natural Sciences

  3. Heliton Tavares, Federal University of Para

    Faculty of Statistics- Institute of Exact and Natural Sciences

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Published
2020-09-01
Issue
Vol. 8 No. 9 (2020): International Journal for Innovation Education and Research
Section
Journal Articles
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Copyright (c) 2020 Valcir J. da C. Farias, Marcus P. C. Rocha, Heliton Tavares

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How to Cite

Farias, V., Rocha, M., & Tavares, H. (2020). Application of the Kalman Filter in Functional Magnetic Resonance Image Data. International Journal for Innovation Education and Research, 8(9), 416-433. https://doi.org/10.31686/ijier.vol8.iss9.2657