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BENG 304 Modeling and Control of Physiological Systems

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<strong>BENG</strong> <strong>304</strong>: <strong>Modeling</strong> <strong>and</strong> <strong>Control</strong> <strong>of</strong> <strong>Physiological</strong> <strong>Systems</strong><br />

Spring 2011<br />

Credits 3<br />

MW 3:00 pm -4:15 pm<br />

Science <strong>and</strong> Technology II, Rm 012<br />

Instructor:<br />

Siddhartha Sikdar, PhD<br />

Assistant Pr<strong>of</strong>essor<br />

Department <strong>of</strong> Electrical <strong>and</strong> Computer Engineering<br />

Office: Nguyen Engineering Building, Room 3908<br />

Email: ssikdar@gmu.edu<br />

Phone: 703-993-1539<br />

Office hours: Monday/Wednesdays 2:00-3:00 pm <strong>and</strong> by appointment<br />

Prerequisites:<br />

1. Calculus <strong>and</strong> differential equations (MATH 214 or equivalent)<br />

2. Elementary physics (PHYS 260 or equivalent)<br />

3. Signals <strong>and</strong> <strong>Systems</strong> (<strong>BENG</strong>/ECE 320 or equivalent)<br />

Textbook (Required):<br />

<strong>Physiological</strong> <strong>Control</strong> <strong>Systems</strong>: Analysis, Simulation <strong>and</strong> Estimation<br />

By: Michael C. K. Khoo<br />

Publisher: Wiley IEEE Press, 1999<br />

Course Description: The human body is a fascinating interconnection <strong>of</strong> organ systems<br />

that work together in complex ways. One aspect <strong>of</strong> bioengineering aims to utilize<br />

quantitative techniques to underst<strong>and</strong> the function <strong>of</strong> the human body, both for basic<br />

science research as well as for diagnosis <strong>and</strong> treatment <strong>of</strong> disease. This course will<br />

introduce the basic concepts <strong>and</strong> tools for modeling physiological systems using<br />

engineering principles <strong>and</strong> analogies, <strong>and</strong> discuss several practical applications. The<br />

course will involve h<strong>and</strong>s-on modeling using SIMULINK.<br />

Course Objectives: In this course, students will learn (1) how to apply knowledge <strong>of</strong><br />

mathematics, physics, biology <strong>and</strong> engineering to analyze physiological systems <strong>and</strong><br />

evaluate the results; (2) how to use computational tools to underst<strong>and</strong> living systems; (3)<br />

how to seek out <strong>and</strong> integrate relevant information from multiple sources when faced<br />

with an unfamiliar problem.<br />

Grading:<br />

Two midterm exams (40%)<br />

Homework (30%)<br />

Final Project (30%)


Module Week Topics<br />

Module 1.<br />

Introduction to<br />

physiological<br />

1<br />

(1/24,<br />

1/26)<br />

modeling 2<br />

(1/31,<br />

Module 2.<br />

The mathematical<br />

tools<br />

Module 3 A.<br />

Building blocks:<br />

Cardiovascular <strong>and</strong><br />

Respiratory system<br />

Module 3 B.<br />

Building blocks:<br />

Nervous system.<br />

Module 3 C.<br />

Building blocks:<br />

Musculoskeletal<br />

system.<br />

Module 3 D.<br />

Building blocks:<br />

Endocrine system<br />

Module 4.<br />

Putting it all<br />

together: <strong>Modeling</strong><br />

complex<br />

physiological<br />

control systems<br />

2/2)<br />

3<br />

(2/7,<br />

2/9)<br />

4<br />

(2/14,<br />

2/16)<br />

5<br />

(2/21,<br />

2/23)<br />

6<br />

(2/28,<br />

3/2)<br />

7<br />

(3/7,<br />

3/9)<br />

3/14-<br />

3/20<br />

9<br />

(3/21,<br />

3/23)<br />

10<br />

(3/28,<br />

3/30)<br />

11<br />

(4/4,<br />

4/6)<br />

12<br />

(4/11,<br />

4/13)<br />

13<br />

(4/18,<br />

4/20)<br />

14<br />

(4/25,<br />

• What is a model? Why model?<br />

• Multiscale organization <strong>of</strong> living organisms: cell to organ<br />

• Homeostasis. Examples <strong>of</strong> physiological control systems.<br />

• Review <strong>of</strong> linear systems concepts<br />

• Fourier series: <strong>Modeling</strong> signals using Fourier series<br />

• Deterministic <strong>and</strong> stochastic signals <strong>and</strong> systems<br />

• Basic concepts <strong>of</strong> control systems; Open vs. closed loop<br />

• Steady state <strong>and</strong> transient analysis <strong>of</strong> control systems<br />

• Linear models vs nonlinear models<br />

• Distributed vs. lumped parameter models<br />

• Compartment models<br />

• Circulatory system. Key events in the cardiac cycle.<br />

• Blood pressure <strong>and</strong> flow, vascular impedance<br />

• Lumped parameter models, windkessel model <strong>of</strong><br />

circulation<br />

• Cardiac mechanics.<br />

• Respiratory mechanics, lung models<br />

• Mid term Exam 1<br />

Spring Break<br />

• Review anatomy <strong>and</strong> physiology <strong>of</strong> nerves. Review basics<br />

<strong>of</strong> bioelectricity.<br />

• Action potentials<br />

• Hodgkin-Huxley model<br />

• Review anatomy <strong>and</strong> physiology <strong>of</strong> muscle. How muscles<br />

contract<br />

• Hill model <strong>of</strong> muscle contraction<br />

• Muscle stretch reflex<br />

• Enzymes <strong>and</strong> hormones<br />

• Michaelis-Menten enzyme kinetics<br />

• Examples <strong>of</strong> endocrine control: glucose-insulin system,<br />

thyroid hormone system.<br />

• Mid term Exam 2<br />

<strong>Modeling</strong> regulation <strong>of</strong> cardiac output<br />

• Starling’s law, pressure-volume curves<br />

• Coupled model <strong>of</strong> cardiopulmonary system<br />

<strong>Modeling</strong> blood pressure regulation<br />

• Baroreceptor reflex.<br />

• The role <strong>of</strong> the kidney in blood pressure regulation<br />

<strong>Modeling</strong> blood glucose regulation<br />

• Insulin control <strong>of</strong> glucose


Module 5.<br />

Wrap up<br />

4/27) • Glucose utilization in muscle<br />

15<br />

(5/2,<br />

5/4)<br />

16<br />

(5/16)<br />

• Model parameter estimation, sensitivity analysis.<br />

• Course review.<br />

• Final Project Presentations<br />

• Project report due<br />

Course structure:<br />

The course will consist <strong>of</strong> two weekly lectures, homework assignments, two<br />

midterm exams <strong>and</strong> a final project. The homework assignments will involve some<br />

programming in SIMULINK <strong>and</strong> analysis <strong>of</strong> SIMULINK models. The exams will be<br />

closed book <strong>and</strong> closed notes. The project will involve h<strong>and</strong>s-on implementation <strong>of</strong> a<br />

model <strong>of</strong> a physiological sub-system.<br />

Homework:<br />

There will be assigned homework throughout the semester. The homework will<br />

involve processing <strong>and</strong> analysis <strong>of</strong> real signals, <strong>and</strong> will involve programming <strong>and</strong><br />

analysis <strong>of</strong> models. Homework submitted after the due date will be penalized (15%<br />

penalty for each day late). No homework will be accepted after one week from the due<br />

date.<br />

5 points <strong>of</strong> the homework grade is reserved for class participation. One student<br />

will be assigned each week on a rotating basis to take the lead on compiling a summary<br />

<strong>of</strong> the discussions in class. The student should compare notes with other students <strong>and</strong> post<br />

their summary on the discussion board on the class home page. These summaries should<br />

be used as a supplement to the lecture slides in preparing for examinations. The class<br />

participation grade will be based on the quality <strong>of</strong> these discussion summaries.<br />

Midterm Exams:<br />

The midterm exams will be closed book <strong>and</strong> notes. They will consist <strong>of</strong> a mixture<br />

<strong>of</strong> essay-type, multiple-choice type questions <strong>and</strong> numerical problems. Absence from<br />

exams must be notified ahead <strong>of</strong> time <strong>and</strong> alternative arrangements made with the<br />

instructor.<br />

Project:<br />

The students will be required to do an individual course project that will integrate<br />

the material learnt in the course. The project presentations <strong>and</strong> final project report will<br />

substitute for a traditional final exam. The project topic can be chosen from a list <strong>of</strong><br />

suggested topics. Typically the project will involve development <strong>and</strong> analysis <strong>of</strong> a model<br />

<strong>of</strong> a physiological sub-system. The student will be expected to seek out <strong>and</strong> integrate<br />

relevant information <strong>and</strong> demonstrate an ability to apply knowledge <strong>of</strong> mathematics,<br />

physics, biology <strong>and</strong> engineering to analyze physiological systems <strong>and</strong> evaluate the<br />

results. Students will develop sections <strong>of</strong> the project report throughout the semester <strong>and</strong><br />

receive feedback.<br />

Academic Honesty <strong>and</strong> Collaboration:


The integrity <strong>of</strong> the University community is affected by the individual choices<br />

made by each <strong>of</strong> us. GMU has an Honor Code with clear guidelines regarding academic<br />

integrity. Three fundamental <strong>and</strong> rather simple principles to follow at all times are that:<br />

(1) all work submitted be your own; (2) when using the work or ideas <strong>of</strong> others, including<br />

fellow students, give full credit through accurate citations; <strong>and</strong> (3) if you are uncertain<br />

about the ground rules on a particular assignment, ask for clarification. No grade is<br />

important enough to justify academic misconduct.<br />

With collaborative work, names <strong>of</strong> all the participants should appear on the work.<br />

Homework problems are designed to be undertaken independently. You may discuss<br />

your ideas with others <strong>and</strong> conference with peers; however, it is not appropriate to give<br />

your work to someone else to review. You are responsible for making certain that there<br />

is no question that the work you h<strong>and</strong> in is your own. If only your name appears on an<br />

assignment, your pr<strong>of</strong>essor has the right to expect that you have done the work yourself,<br />

fully <strong>and</strong> independently.<br />

Plagiarism means using the exact words, opinions, or factual information from<br />

another person without giving the person credit. Writers give credit through accepted<br />

documentation styles, such as parenthetical citation, footnotes, or endnotes.<br />

Paraphrased material must also be properly cited. A simple listing <strong>of</strong> books or articles is<br />

not sufficient. Plagiarism is the equivalent <strong>of</strong> intellectual robbery <strong>and</strong> cannot be tolerated<br />

in the academic setting. If you have any doubts about what constitutes plagiarism, please<br />

see the instructor.<br />

Relevant Campus <strong>and</strong> Academic Resources<br />

Disability Services<br />

Any student with documented learning disabilities or other conditions that may<br />

affect academic performance should: 1) make sure this documentation is on file with the<br />

Office <strong>of</strong> Disability Services (SUB I, Rm. 222; 993-2474; www.gmu.edu/student/drc) to<br />

determine the accommodations you might need; <strong>and</strong> 2) talk with the instructor to discuss<br />

reasonable accommodations.<br />

Office <strong>of</strong> Diversity Programs <strong>and</strong> Services<br />

SUB 1, Rm. 345; 993-2700; www.gmu.edu/student/msaf/index.html<br />

Writing Center<br />

Robinson A116; 993-1200; writingcenter.gmu.edu.

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