Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Nonlinear Analysis of the BOLD Signal | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID215409 13 pages doi 2009 215409 Research Article Nonlinear Analysis of the BOLD Signal Zhenghui Hu 1 2 Xiaohu Zhao 3 Huafeng Liu 1 and Pengcheng Shi2 4 1 Department of Optical Engineering State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou 310027 China 2B. Thomas Golisano College of Computing and Information Sciences Rochester Institute of Technology Rochester NY 14623 USA 3 Department of Radiology Tongji Hospital ofTongji University Shanghai 200065 China 4 University of Rochester Medical Center Rochester NY 14642 USA Correspondence should be addressed to Pengcheng Shi Received 1 January 2009 Accepted 20 April 2009 Recommended by Don Johnson 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. Copyright 2009 Zhenghui Hu et al. 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. 1. Introduction The primary goal of the fMRI study is to detect the underlying neural nature from the hemodynamics-induced signal intensity changes. The fMRI data analysis therefore aims
