| Instructor(s) | Adam Lim [Coordinator] Office: TBA Phone: TBA Email: adam.lim@torontomu.ca Office Hours: Tuesday | 12pm - 1pm | Virtual | ||||||||||||||
| 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): |
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| Reference Text(s): |
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| 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 University Libraries provide research workshops and individual consultation appointments. There is a drop-in Research Help desk on the second floor of the library, and students can use the Library's virtual research help service to speak with a librarian, or book an appointment to meet in person or online.
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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, always require documentation. Students must notify their faculty/contract lecturer once a request for academic consideration is submitted. See Senate Policy 167: Academic Consideration.
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Visit the Electrical, Computer and, Biomedical Engineering department's faculty page for contact information.
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Academic Accommodations (for students with disabilities) and Academic Consideration (for short-term extenuating circumstances) are governed by different university policies. Learn more about each process and how to access support. Students registered with AAS may request academic consideration (related or unrelated to their disability) if they experience extenuating circumstances that impact their ability to meet their shorter term academic obligations. This includes short term physical or mental health issues that are sudden/acute (e.g, the flu), unexpected illness or injury, hospitalization or treatment, and significant aggravation of a pre-existing condition. Please see Policy 167: Academic Consideration for more information and details.
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