Instructor: Yeşim Serinağaoğlu

Office: DZ-03

Catalogue Description: Definition of, and examples on homeostasis. Body fluid compartments and compartmental analysis. Models of cardiovascular and respiratory systems. Hormonal control mechanisms. Neural control mechnisms. Regulation of body fluid volumes and electrolytes. Mathematical modelling, simulation and identification of physiological systems; associated numerical methods.

Credit Hours: (3-0) 3

Course Objectives / Goals: The main objective of this course is to provide background knowledge on specific physiological systems (nervous system, sensory systems, muscle control systems, cardiovascular systems, respiratory system, hormonal control mechanisms) and to apply control theory, system analysis, and model identification techniques to better understand the processes involved in physiological regulation.

In this course, besides qualitative descriptions of physiological systems, we shall be dealing with the mathematical modeling and computer simulation of these models. Mathematical modeling of a physiological system results in a description in terms equations, usually differential equations, chosen to describe the dynamic aspects of the system.

Textbook:

Authors:

Title:

Publisher:

Year:

Khoo M. C. K.

Physiological Control Systems,

Analysis, Simulation and Estimation

IEEE Press

1999

Reference Books:

*Authors:*	*Title:*	*Publisher:*	*Year:*
Vander A. J., Sherman J. H., Luciano D. S.	Human Physiology	McGraw-Hill	1994
Carson E. & Cobelli C.	Modelling Methodology for Physiology and Medicine	Academic Press	2001
Guyton A. C., Hall, J. E.	Textbook of Medical Physiology	W. B. Saunders	1986
Deutsch S., Deutsch A.	Understanding the Nervous System	IEEE Press	1993
Randall J. E.	Microcomputers and Physiological Simulation	Raven Press	1987
Talbot S. A., Gessner U.	Systems Physiology	John Wiley & Sons	1973
Rideout V. C.	Mathematical and Computer Modeling of Physiological Systems	Prentice Hall	1991

Grading Policy:

Midterm Exam	30%
Take Home Exams	30%
Final Exam	40%

Course Outline

1. Introduction

2. Mathematical Modeling

3. Static Analysis of Physiological Systems

4. Time-Domain Analysis of Linear Control Systems

5. Frequency-Domain Analysis of Linear Control Systems

6. Stability Analysis: Linear Approaches

7. Identification of Physiological Control Systems