Instructor(s) | Dr. Sridhar Krishnan [Coordinator] Office: EPH 439 Phone: 554931 / 557548 Email: krishnan@torontomu.ca Office Hours: Mondays, 2pm to 3pm | ||||||||||||||
Calendar Description | This 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. | ||||||||||||||
Prerequisites | BLG 601 and BME 632 and BLG 701 and BME 639 | ||||||||||||||
Antirequisites | ELE 772 | ||||||||||||||
Corerequisites | None | ||||||||||||||
Compulsory Text(s): |
| ||||||||||||||
Reference Text(s): |
| ||||||||||||||
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). | ||||||||||||||
Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||
Teaching Assistants | TBA | ||||||||||||||
Course Evaluation |
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). | ||||||||||||||
Examinations | Midterm exam in Week 8, two hours (covers Weeks 1-7). Final exam, during exam period, three hours (covers Weeks 1-13). | ||||||||||||||
Other Evaluation Information | Course 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 Methods | In-person lectures and labs | ||||||||||||||
Other Information | None |
Week | Hours | Chapters / | 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 |
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 |
13 | 3 | Review and project presentations |
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 |
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.
The Library provides research workshops and individual assistance. If the University is open, there is a Research Help desk on the second floor of the library, or students can use the Library's virtual research help service to speak with a librarian.
You can submit an Academic Consideration Request when an extenuating circumstance has occurred that has significantly impacted your ability to fulfill an academic requirement. You may always visit the Senate website and select the blue radio button on the top right hand side entitled: Academic Consideration Request (ACR) to submit this request.
For Extenuating Circumstances, Policy 167: Academic Consideration allows for a once per semester ACR request without supporting documentation if the absence is less than 3 days in duration and is not for a final exam/final assessment. Absences more than 3 days in duration and those that involve a final exam/final assessment, require documentation. Students must notify their instructor once a request for academic consideration is submitted. See Senate Policy 167: Academic Consideration.
If taking a remote course, familiarize yourself with the tools you will need to use for remote learning. The Remote Learning Guide for students includes guides to completing quizzes or exams in D2L Brightspace, with or without Respondus LockDown Browser and Monitor, using D2L Brightspace, joining online meetings or lectures, and collaborating with the Google Suite.
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.
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.