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ELEC 408 Biomedical Signal and Image Processing Units: 3.00
This is an introductory course in biomedical signal and image processing.
Topics include: biopotential generation and detection; the biomedical signals
with a focus on the electrocardiogram and electroencephalogram; recording artifacts and signal compression; major medical imaging modalities; 2D and 3D image formation; image processing techniques including spatial and
frequency-domain filtering, feature extraction and convolutional neural networks; applications in diagnostics, therapeutics, and interventions.
NOT OFFERED 2024-2025
(Lec: 3, Lab: 0, Tut: 0)
Topics include: biopotential generation and detection; the biomedical signals
with a focus on the electrocardiogram and electroencephalogram; recording artifacts and signal compression; major medical imaging modalities; 2D and 3D image formation; image processing techniques including spatial and
frequency-domain filtering, feature extraction and convolutional neural networks; applications in diagnostics, therapeutics, and interventions.
NOT OFFERED 2024-2025
(Lec: 3, Lab: 0, 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 9
Complementary Studies 0
Engineering Science 18
Engineering Design 9
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Describe the generation of biopotentials and the characteristics of the major biological signals.
- Describe and perform standard and advanced signal processing of biosignals.
- Explain how medical images are obtained for a number of medical imaging technologies.
- Recognize and explain image characteristics and how image processing tools are applied to medical images.
- Using appropriate processing tools, analyze and extract information from biosignal and/or a medical image data.