Description
Material
External Info
Description

This is an introductory course in biomedical signal and image processing. Topics include: biopotential generation; biosignal detection using metal electrodes; electrocardiogram; amplifiers and filter design for biosignal recording; and design considerations; 2D and 3D image formation; fluoroscopy, ultrasound, computed tomography, and magnetic resonance imaging; spatial and frequency‐domain filtering and feature extraction; applications in diagnostics, therapeutics, and interventions.

This course is designed for learners with some background in analog signal processing.‐

Course Learning Outcomes (CLOs)
  • CLO-I.1: Explain image characteristics and how they are related image quality (knowledge base; eng sci)
  • CLO-I.2: Explain how medical images are obtained for a number of medical imaging technologies (knowledge base; nat sci)
  • CLO-I.3:  Recognize and explain how image processing tools are applied to medical images (knowledge base; eng sci)
  • CLO-I.4: Using appropriate processing tools, analyze and extract information from biological signal and/or image data (problem analysis; eng sci)  
  • CLO-S.1: Describe the generation of biopotentials and the characteristics of the major biological signals (knowledge base; nat sci)
  • CLO-S.2: Describe how the ECG is generated and how it is related to the anatomy and function of the heart (knowledge base; nat sci)
  • CLO-S.3: Describe and perform standard ECG signal processing techniques, including artifact removal (problem analysis; eng sci)
  • CLO-S.4: Describe and perform advanced ECG signal processing, including heart rate variability analysis (problem analysis; eng sci)
  • CLO-S.5: Identify components of an instrumentation system for biosignal recording and describe how biosignals are detected using electrodes (knowledge base; eng sci)
Program learning outcomes (CEAB graduate attribute indicators)

ELEC 408 develops the Canadian Engineering Accreditation Board Graduate Attributes through the following four indicators:

  • A knowledge base for engineering
  • Problem analysis
  • Investigation
  • Individual and team work
  • Communication skills
Credit Breakdown

Lecture: 3
Lab: 0
Tutorial: 0

Academic Unit Breakdown

Mathematics 0
Natural Sciences 9
Complementary Studies 0
Engineering Science 18
Engineering Design 9