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ELEC 408 Biomedical Signal and Image Processing Units: 3.50
This is an introductory course in biomedical signal and image acquisition and processing. The signal module includes a review of biopotential (heart, brain, muscle electrical activities) and non-biopotential signals (acoustics and body motions, etc.), time-domain analysis, frequency-domain analysis, and an introduction to linear and non-linear analyses. The image module includes review of major medical imaging modalities (x-ray, computed tomography, magnetic resonance imaging, and ultrasound), image filtering, image registration, and image segmentation. The course concludes with a discussion of pattern recognition in biomedical images using well-known artificial intelligence models for applications in diagnostics, therapeutics, and interventions. Students experimentally practice some of the signal acquisition and processing techniques in the laboratory.
(Lec: 3, Lab: 0.5, Tut: 0)
(Lec: 3, Lab: 0.5, Tut: 0)
Requirements: Prerequisites: ELEC 224 or MREN 223 or permission of the instructor
Corequisites:
Exclusions:
Offering Term: W
CEAB Units:
Mathematics 0
Natural Sciences 14
Complementary Studies 0
Engineering Science 14
Engineering Design 14
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Describe biomedical signals, their major physiological characteristics, and how they are acquired.
- Describe signal types (deterministic, random, chaotic, ...) and characteristics.
- Describe and perform standard signal processing techniques, including artifact removal, power estimation, parametric modeling, feature extraction.
- Explain how medical images are captured for a number of medical imaging technologies.
- Explain image characteristics and how they are related to image quality.
- Use appropriate processing tools, analyze, enhance and extract information, such as points, corners, edges, objects, from a medical image.
- Use pattern recognition techniques in analyzing biomedical signals and images.