MX4011 Physiological Modeling Syllabus:
MX4011 Physiological Modeling Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To identify and describe general principles for modeling and simulating a system.
To apply these principles when designing mathematical models for a number of realistic systems.
To model the dynamic systems.
To analyze models for cardio, pulmonary and respiration activities.
To implement and use computer based modeling and simulation for studying physiological systems
UNIT I INTRODUCTION
Introduction to physiological system and mathematical modeling of physiological system, classification of model – gray box & black box, parametric & non parametric, lumped & distributed models, linear & non-linear, characteristics of models. Purpose of physiological modelling and signal analysis, linearization of nonlinear models. Engineering system and physiological system, System variables & properties- Resistance, Compliance & their analogy.
UNIT II DYNAMIC PHYSIOLOGICAL SYSTEM
Dynamic systems and their control, modeling and block diagrams, Types of Eye movement, Eye movement system and Wetheimer’s saccadic eye model. Robinson’s Model, Oculomotor muscle model, Linear Reciprocal Innervations Oculomotor Model. Open &close loop systems instability, automatic aperture control.
UNIT III NON LINEAR MODELS
Nonparametric Modeling-Volterra Models. Wiener Models. Efficient Volterra Kernel Estimation. Parametric Modeling- Basic Parametric Model Forms and Estimation Procedures- Volterra Kernels of Nonlinear Differential Equations. Discrete-Time Volterra Kernels of NARMAX Model
UNIT IV CARDIO, PULMONARY AND RESPIRATORY MODELING
Cardiovascular system and pulmonary mechanics modeling and simulation, Model of Cardiovascular Variability, Model of Circadian Rhythms. Respiratory mechanics & muscle mechanics. Voltage clamp experiment – Hodgkin and Huxley’s model of action potential, model for strength-duration curve, model of the whole neuron
UNIT V SIMULATION OF PHYSIOLOGICAL SYSTEMS
Simulation of physiological systems using OpenCV / MATLAB software. Biological receptors: – Introduction, receptor characteristics, transfer function models of receptors, receptor
45 PERIODS
PRACTICAL EXERCISES: 30 PERIODS
1. Design Lumped and Distributed SIMULINK model for simple lung mechanism.
2. Design a SIMULINK model for steady-state analysis of muscle stretch reflex.
3. Design a SIMULINK model for steady-state respiratory control.
4. Design a SIMULINK model of neuromuscular reflex models.
5. Design a SIMULINK model to compute frequency response of linearized lung mechanics model.
6. Design a SIMULINK model to compute frequency response of glucose-insulin regulation (Stolwijk and Hardy model).
7. Design a SIMULINK model for respiratory sinus arrhythmia (Saul model).
8. Design a SIMULINK model of simplified and linearized version of Hodgkin-Huxley model.
9. Design a SIMULINK model for cardiovascular variability. (stroke volume constant)
10. Design a SIMULINK model for cardiovascular variability. (stroke volume variable)
COURSE OUTCOMES:
CO1: Build on a basic understanding of physiology to develop a more in-depth level of understanding that will enable engineering analysis of selected physiological systems
CO2: Describe the dynamic models, simulate and visualize, dynamic responses of physiological models using software
CO3: Describe nonlinear models of physiological systems.
CO4: Be able to translate the understanding of physiological function into an engineering model for cardio, and respiratory systems
CO5: Compute the Simulation of physiological systems
TOTAL:75 PERIODS
REFERENCES
1. Michel C Khoo, Physiological Control Systems -Analysis, simulation and estimation, Prentice Hall of India, 2010.
2. Marmarelis, “Nonlinear Dynamic Modeling of Physiological Systems”, Wiley-IEEE Press, 2004
3. Joseph D. Bronzino, The Biomedical Engineering Hand Book, 3rd Edition, CRC Press, 2006
4. John D. Enderle, “Model of Horizontal eye movements: Early models of saccades and smooth pursuit”, Morgan & Claypool Publishers, 2010.