|Instructor(s)||Sridhar Krishnan [Coordinator]|
Office: ENG 367
Phone: (416) 979-5000 x 4931 / 7548
Office Hours: Mondays 1pm 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|
|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||Giordanno Arezza, firstname.lastname@example.org|
Syem Ishaque, email@example.com
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 8, two hours, closed book (covers Weeks 1-7).|
Final exam, during exam period, three hours, closed-book (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.
SK Module 1
Biomedical signal analysis: Opportunities and Challenges
SK Module 1
Sensing and acquisition of biomedical signals
SK Module 2
Filtering of biomedical signals
SK Module 2
Time-domain analysis of biomedical signals
SK Module 2
Frequency-domain analysis of biomedical signals
SK Module 3
Mathematical modelling of biomedical signals
SK Module 4
Machine learning applications
Review and class presentations
Lab 0: Foundational aspects of biomedical signal analysis
3 and 4
Lab1: Synchronized averaging
5 and 6
Lab2: Filtering of the ECG for 60Hz removal
7 and 8
Lab3: QRS Detection and ECG Rhythm Analysis
9 and 10
Lab4: Frequency Domain Analysis
11 and 12
Open Lab for projects
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/).