TORONTO METROPOLITAN UNIVERSITY

Course Outline (F2024)

BME772: Biomedical Signal Analysis

Instructor(s)Dr. Sridhar Krishnan [Coordinator]
Office: EPH 439
Phone: 554931 / 557548
Email: krishnan@torontomu.ca
Office Hours: Mondays, 2pm to 3pm
Calendar DescriptionThis is course will cover the different biomedical signals and the related signal modeling and analysis techniques. The topics covered in the course include an introduction to various physiological/biomedical signals such as the action potential, the electro-neurogram (ENG), the electromyogram (EMG), the electrocardiogram (ECG), the electroencephalogram (EEG), event-related potentials (ERPs), the electrogastrogram (EGG), the phonocardiogram (PCG), the carotid pulse (CP), signals from catheter-tip sensors, speech and oto-acoustic emission signals. The biomedical signal analysis portion of the course will deal with the analysis of concurrent, coupled and correlated processes, filtering for removal of artifact from biomedical signals, event detection techniques, analysis of wave-shape and waveform complexity associated with biomedical signals, mathematical modeling of biomedical systems, and medical decision support systems.
PrerequisitesBLG 601 and BME 632 and BLG 701 and BME 639
AntirequisitesELE 772
Corerequisites

None

Compulsory Text(s):
  1. Biomedical Signal Analysis, 3rd Edition, R.M. Rangayyan and S. Krishnan, IEEE Press Series in Biomedical Engineering, published by John Wiley and Sons Inc., 2024.
Reference Text(s):
  1. Biomedical Signal Analysis for Connected Healthcare, S. Krishnan, Elsevier, 2021.
  2. Technical articles and other relevant materials [to be posted if required]
Learning Objectives (Indicators)  

At the end of this course, the successful student will be able to:

  1. The students will be able to demonstrate their ability to apply different mathematical transforms and modeling techniques to physiological signals. (1c)
  2. The students will build the knowledge base needed for data acquisition, signal pre-processing, analysis, and interpretation of various real-world physiological signals. (1d)
  3. Solve design problems (4b)
  4. Analyse data to make decisions. (5b)
  5. Contribute to teamwork in an equitable and timely manner. (6a)
  6. Use Technical vocabulary related to Biomedical Engineering accurately. (7a)
  7. Make concise technical presentations to a peer group. (7b)
  8. Use graphics to analyse and display data. (7c)
  9. Understand how technological innovations can affect the well-being of those that use them. (8b)
  10. Gains a working knowledge of the literature of biomedical engineering and how it effects the day to day life (12b)

NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB).

Course Organization

3.0 hours of lecture per week for 13 weeks
2.0 hours of lab per week for 12 weeks
0.0 hours of tutorial per week for 12 weeks

Teaching AssistantsTBA
Course Evaluation
Theory
Midterm Exam 25 %
Final Exam 30 %
Laboratory
Lab Reports 25 %
Project 20 %
TOTAL:100 %

Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, 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 above for details on the Theory and Laboratory components (if applicable).


ExaminationsMidterm exam in Week 8, two hours (covers Weeks 1-7).
 
 Final exam, during exam period, three hours (covers Weeks 1-13).
Other Evaluation InformationCourse Project
 
 Project on state-of-the art biomedical analysis systems that may include implementation as well as a written report and presentation.  The details will be discussed in class. The project will have to be done in groups of three students. A report including the problem statement, methodology, and results for each must be submitted by the date which will be provided later.
 
 The report should be in IEEE double column format, and should not be more than 6 double-column, single-spaced pages (IEEE templates for Word and Latex may be downloaded from the IEEE website). The presentation of the report will also be required, and a presentation schedule will be provided later in the course.
Teaching MethodsIn-person lectures and labs
Other InformationNone

Course Content

Week

Hours

Chapters /
Section

Topic, description

1-2

4

Chapters 1 and 2

Biomedical signal analysis: Opportunities and Challenges. Nature of Biomedical Signals.
 


2-3

3

Chapter 3

Sources of noise, artifacts, and interferences in biomedical signals


3-5

8

Chapter 3

Filtering of biomedical signals


6-7

6

Chapters 4 and 5

Detection of events, waveshape analysis, and time-domain analysis
 
 Week 7: Project proposals due


8

2

Midterm


8-10

6

Chapter 6

Frequency-domain analysis of biomedical signals


10-11

3

Chapter 7

Mathematical modeling of biomedical signals


11-12

4

Chapter 10

Machine learning applications
 
 Week 12: Project reports due


13

3

Review and project presentations


Laboratory(L)/Tutorials(T)/Activity(A) Schedule

Week

L/T/A

Description

2

Lab

Lab 0: Foundational aspects of biomedical signal analysis

3 and 4

Lab

Lab 1: Synchronized averaging

5 and 6

Lab

Lab 2: Filtering of the ECG for 60Hz removal

7 and 8

Lab

Lab 3: QRS Detection and ECG Rhythm Analysis

9 and 10

Lab

Lab 4: Frequency Domain Analysis

11 and 12

Lab

Open Lab for projects

University Policies & Important Information

Students are reminded that they are required to adhere to all relevant university policies found in their online course shell in D2L and/or on the Senate website

Refer to the Departmental FAQ page for furhter information on common questions.

Important Resources Available at Toronto Metropolitan University

Accessibility

Academic Accommodation Support

Academic Accommodation Support (AAS) is the university's disability services office. AAS works directly with incoming and returning students looking for help with their academic accommodations. AAS works with any student who requires academic accommodation regardless of program or course load.

Academic Accommodations (for students with disabilities) and Academic Consideration (for students faced with extenuating circumstances that can include short-term health issues) are governed by two different university policies. Learn more about Academic Accommodations versus Academic Consideration and how to access each.

Wellbeing Support

At Toronto Metropolitan University, we recognize that things can come up throughout the term that may interfere with a student’s ability to succeed in their coursework. These circumstances are outside of one’s control and can have a serious impact on physical and mental well-being. Seeking help can be a challenge, especially in those times of crisis.

If you are experiencing a mental health crisis, please call 911 and go to the nearest hospital emergency room. You can also access these outside resources at anytime:

If non-crisis support is needed, you can access these campus resources:

We encourage all Toronto Metropolitan University community members to access available resources to ensure support is reachable. You can find more resources available through the Toronto Metropolitan University Mental Health and Wellbeing website.