|Instructor(s)||Dafna Sussman [Coordinator]|
Phone: (416) 979-5000 x 3767
Office Hours: Fridays 9:30-10:30am (limited to 10min per student, by appointment)
|Calendar Description||Mathematical modeling of biomedical systems. Lumped and distributed models of electrical, mechanical, and chemical processes applied to cells, tissues, and organ systems.|
|Prerequisites||BLG 601 and BME 229 and BME 639 and BLG 701|
|Learning Objectives (Indicators)|
At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB).
3.0 hours of lecture per week for 13 weeks
|Teaching Assistants||Mohamad‐Ali Bahsoun: firstname.lastname@example.org|
Note: In order for a student to pass a course with "Theory and Laboratory" components, in addition to earning a minimum overall course mark of 50%, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section for details on the Theory and Laboratory components.
|Examinations||Midterm exam in week 9 of the course (week of March 2nd) will be 1 hour, closed book and will cover material from weeks 1-7.|
Quizzes in week 6 (week of Feb 10th) and week 12 (week of March 23rd) of the course will be 15 minutes at the end of the tutorial session, closed book, and will cover material from the previous weeks.
Final exam will be during exam period, and will be 3 hours, closed book, and will cover all material from weeks 1-13.
|Other Evaluation Information||Lab will run every week beginning week 2. Laboratory manuals will be posed on the course shell on D2L. All labs will involve simulating and/or processing physiological signals and systems using Matlab and/or Simulink software. |
Each lab is worth 5%, and will be marked based on completion of the lab report and answering TA questions during and at the end of the lab session. A lab report must be submitted for each of the four labs, one lab report per group, submitted within 1 week of completing the lab (to the TA at the start of the next lab).
Lab reports will not be accepted from students who did not attend a lab session.
Lectures will involve in-class assignments that are to be submitted through D2L.
** Laboratory attendance and lecture attendance are both mandatory **
Lecture topics: Introduction to systems and modelling and physiological signals and noise, Review of signals and systems basics statistical description of random process continuous and discrete signals and digitization
Lecture topics: Review of frequency decomposition of signals, Fourier series, Fourier Transform (discrete-time discrete fast short-time), wavelet transform, Laplace transform filtering
Lecture topics: Differential equations and numerical methods, State space models, Modelling of the cardio-respiratory system
Lecture topics: Modelling nerve action potentials
Lecture topics: Feedback systems, control systems, system stability, time-frequency domain analysis
Lecture topics: Model validation, Finite element analysis, immune system
No lecture - Reading week
Lecture topics: Linear model of blood flow
Midterm exam (1 hour in class closed book) on material from weeks 1-6
Lecture topics: Skeletal muscle contraction
Lecture topics: Modelling skeletal muscle contraction
Lecture topics: Electromyogram
Lecture topics: Numerical methods and geometry for graphics, Real-time data acquisition and signal processing
Practice and review for final exam
Lab 1: Wavelet transformation applied to EEG
Tutorial 1: Introduction to Simulink
Lab 2: Windkessel model of blood circulation
Tutorial 2: Review of course concepts problem solving
Lab 3: System Identification
Lab 4: Immune System
Tutorial 3: Skeletal Muscles
Tutorial 4: Real-time data acquisition and signal processing
When possible, students are required to inform their instructors of any situation which arises during the semester which may have an adverse effect upon their academic performance, and must request any consideration and accommodation according to the relevant policies as far in advance as possible. Failure to do so may jeopardize any academic appeals.
Ryerson's Policy 60 (the Academic Integrity policy) applies to all students at the University. Forms of academic misconduct include plagiarism, cheating, supplying false information to the University, and other acts. The most common form of academic misconduct is plagiarism - a serious academic offence, with potentially severe penalties and other consequences. It is expected, therefore, that all examinations and work submitted for evaluation and course credit will be the product of each student's individual effort (or an authorized group of students). Submitting the same work for credit to more than one course, without instructor approval, can also be considered a form of plagiarism.
Suspicions of academic misconduct may be referred to the Academic Integrity Office (AIO). Students who are found to have committed academic misconduct will have a Disciplinary Notation (DN) placed on their academic record (not on their transcript) and will normally be assigned one or more of the following penalties:
The unauthorized use of intellectual property of others, including your professor, for distribution, sale, or profit is expressly prohibited, in accordance with Policy 60 (Sections 2.8 and 2.10). Intellectual property includes, but is not limited to:
For more detailed information on these issues, please refer to the Academic Integrity policy(https://www.ryerson.ca/senate/policies/pol60.pdf) and to the Academic Integrity Office website (https://www.ryerson.ca/academicintegrity/).