State Estimation of Hemodynamic Model for fMRI Under Confounds: SSM Method

Through hemodynamic models, the change of neuronal state can be estimated from functional magnetic resonance imaging (fMRI) signals. Usually, there are confounds in the fMRI signal, which will degrade the performance of the estimation for the neuronal state change. For the reason, this paper introdu...

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Bibliographic Details
Published in:	IEEE journal of biomedical and health informatics Vol. 24; no. 3; pp. 804 - 814
Main Authors:	Wu, Haifeng, Lu, Mingzhi, Zeng, Yu
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Biological system modeling Brain - diagnostic imaging Brain modeling Computer Simulation confounds Covariance Error reduction Estimation fMRI Functional magnetic resonance imaging hemodynamic model Hemodynamics Hemodynamics - physiology Heuristic algorithms Humans Magnetic resonance imaging Magnetic Resonance Imaging - methods Mathematical model Models, Biological Performance degradation Performance evaluation Signal Processing, Computer-Assisted State estimation State space models
ISSN:	2168-2194, 2168-2208, 2168-2208
Online Access:	Get full text
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