ECED 4760: Introduction to Biomedical Engineering: Biosignals and Analysis.Course Website: http://www.dal.ca/bme/gmaksym/ECED4760 updated April 11, 2005 Course Schedule: ECED4760Schedule.html Course Resources: ECED4760Resources.html Registrar’s Link: http://www.registrar.dal.ca/calendar/class.php?subj=ECED&num=4760 Prof: Dr. Geoffrey
N. Maksym, Room 5241 TA: Osama Majdalawieh, daltiger8@hotmail.com Class times: Tuesday Tutorials/labs: Friday: 3:35-5:25 NOTICES: 1st class January 3rd Assignment Downloads: Example Midterm: Study Guide: Labs: Matlab Primer available with sample code (winzip file): matlab student primer.zipDescription:The course covers several themes throughout the term: 1) Physiology with emphasis on Biomedical signal generation 2) Sensors and Transducers for Biosignal measurement 3) Biosignal acquisition and analysis This course is directed at the student interested in the analysis of physiological signals from the perspective of the biomedical engineer. After an overview of physiology of the cardiovascular, respiratory and neurophysiological systems, the fundamentals of measurement and mathematical interpretation of biosignals will be covered. Signals and systems will include cellular electropotentials, blood flows, heart sounds, myoelectric (ECG and EMG), neuroelectric (ENG and EEG), with special topics by guest lectures in the areas of electrocardiography, Electromyography, human motion analysis, neurophysiological measurements & technology, and biomedical imaging. Biophysical signal conditioning with time domain and frequency domain analyses will be introduced. The strength of the course will be in its coverage of the aspects of understanding the biomedical signal from its source through the sensors and transducers to the digital acquisition and analysis. The physiological origin of each biosignal and their interpretation in the context of the physiological system will be introduced as will aspects contaminating the signals including transducer limitations, noise and data acquisition quantization and sampling. Also, both time course analyses as well as frequency domain analysis (via Fourier transform and power spectra). The assignments are a mixture of interpretative and quantitative problems. Interpretive problems help familiarize the student with aspects of physiology and physiological analysis, while quantitative problems apply techniques such as time-domain and Fourier domain analysis to physiological signals, and also for estimating the effects of noise and transducer performance. The analytical tool for undertaking quantitative assignments is most appropriately Matlab, and some examples written in Matlab will be provided. Tutorials are mostly guest lectures from the field of Biomedical Engineering. These have been highly informative and include expert discussions on: What is Biomedical Engineering, Research in MRI imaging and neurological disease, Ear Implant devices and Ear surgery, EMG analysis, Robotics, and Working as a Biomedical Engineer in a Hospital. The tutorial times will also be used for one or 2 labs and 1 or 2 sessions for review and assignment assistance with myself or the TA. Recommended Texts: Available in Library: John G. Webster, Medical Instrumentation, 1998 Wiley, NY, also see some texts indicated in the course resources hyperlink above. Marking: Assignments: 40% Labs: 10% Mid term: 15% Final 35% Assignments will be on an individual basis and are a mixture of descriptive answers and quantitative frequently requiring some programming. Assignment Late Policy: For each day late the maximum mark is decreased 10% of the previous days maximum. (So it always is worth something to hand it in, no matter how late) 10, 9.00, 8.10, 7.29, 6.56, 5.90, 5.31, 4.78, 4.30, 3.87, 3.49, 3.14, 2.82, 2.54, etc. Hand in assignments in class Labs. We will go
to the lab and acquire EMG/ECG signals during 1-2 Tutorial time slots. Some
assignments will be based on your signal acquisition experience, and will use
these signals for analysis. The Lab is located in the Requirements: Some experience in computer programming, while not essential, would be helpful. Time commitment. The course consists of two 1.5 hour lectures each week. There are two 1 hour labs in the course, with take home assignments. Several 1 hour guest lectures & review or assignment assistance fill the remaining tutorial spots as indicated in the course schedule. |
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