Open Access

Nonlinear Analysis of the BOLD Signal

EURASIP Journal on Advances in Signal Processing20092009:215409

Received: 1 January 2009

Accepted: 20 April 2009

Published: 2 June 2009


The linearized filtering approach to the hemodynamic system is limited in capturing the inherent nonlinearities of physiological systems. The nonlinear estimation method therefore should be thought of as a natural way to access the nonlinear data assimilation problem. In this paper, we present a nonlinear filtering algorithm which is computationally expensive compared to the existing linearization filtering algorithms, for hemodynamic data assimilation, to address the deficiencies inherent to linearization. Simultaneous estimation of the physiological states and the system parameters have been demonstrated in a simulated and real data. The method provides more reasonable inference about the parameters of models for hemodynamic data assimilation.


AssimilationEstimation MethodReal DataSystem ParameterQuantum Information

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Authors’ Affiliations

Department of Optical Engineering, State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China
Department of Radiology, Tongji Hospital of Tongji University, Shanghai, China
B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, USA
University of Rochester Medical Center, Rochester, USA


© Zhenghui Hu et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.