SYLLABUS 4 JNTU BME - PHYSIOLOGICAL SYSTEMS MODELING (Elective-II)

PHYSIOLOGICAL SYSTEMS MODELING
(Elective-II)

UNIT-I
The problem of system modeling in Physiology. Types of Nonlinear models of physiological systems. Deductive and Inductive modeling.

UNIT-II
Nonparametric modeling: Volterra models. Wiener models. Efficient volterra kernel estimation Analysis of estimation errors.

UNIT-III
Parametric modeling: Basic parametric model forms and Estimation procedures. Volterra kernels of nonlinear differential equations. Discrete-time volterra kernels of NARMAX models. From Volterra kernel measurements to Parametric models. Equivalence between continuous and Discrete -parametric models.

UNIT-IV
Preliminary tests and Data preparation. Model specification and Estimation. Model validation and Interpretation. Outline of step-by-step procedure.

UNIT-V
Applications: Neurosensory systems:Cardiovascular system, Renal system, Metabolic-Endocrine system.

UNIT-VI
Modeling of multiinput/multioutput systems: The Two-input case. Application s of Two-input modeling to physiological systems. The Multiinput case spatiotemporal and spectrotemporal modeling.

UNIT-VII
Modeling of neuronal systems: A General model of membrane and Synaptic dynamics, Functional integration in the Single neuron, Neuronal systems with Pointprocess inputs Modeling of neuronal ensembles.

UNIT-VIII
Modeling of Closed-loop systems: Autoregressive form of Closed-loop model, Network model form of Closed-loop systems.

TEXT BOOK
1. Vasilis Z. Marmarelis, Nonlinear dynamic modeling of physiological systems, Wiley-IEEE Press, 2004.

REFERENCE:
1. David T. Westwick, Robert E. Kearney, Identification of Nonlinear Physiological Systems, Wiley-IEEE Press, 2003.
2. Michel C Khoo, Physiological Control Systems -Analysis, simulation and estimation, Prentice Hall of India, 2001.