14 types of nonlinear models of physiological systems 2 nonparametric modeling 21 volterra models 22 wiener models 23 efficient volterra kernel estimation 24 analysis of estimation errors 3 parametric modeling 31 basic parametric model forms and estimation procedures 32 volterra kernels of nonlinear differential equations. A practical approach to obtaining nonlinear dynamic models from stimulus response data nonlinear modeling of physiological systems from stimulus response data is a long standing problem that has substantial implications for many scientific fields and associated technologies. The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus response data in a practical context. Nonlinear modeling of physiological systems from stimulus response data is a long standing problem that has substantial implications for many scientific fields and associated technologies these disciplines include biomedical engineering signal processing neural networks medical imaging and robotics and automation. Nonlinear dynamic modeling of physiological systems provides the most comprehensive treatment of the subject to date starting with the mathematical background upon which these methodologies are built the book presents the methodologies that have been developed and used over the past thirty years
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