EE-512 / 4 credits

Teacher: Lemay Mathieu

Language: English


Summary

The goal of this course is twofold: (1) to introduce physiological basis, signal acquisition solutions (sensors) and state-of-the-art signal processing techniques, and (2) to propose concrete examples of applications for vital sign monitoring and diagnosis purposes.

Content

Keywords

signal processing, biomedical engineering, signal modelling, spectral analysis, adaptive filtering, algorithm design

Learning Prerequisites

Recommended courses

Signal processing for telecommunications COM-303
Signal processing EE-350

Important concepts to start the course

basics of discrete-time signal analysis
basics in signal processing programming

Teaching methods

Ex cathedra lectures (approx.. 2h per module) and practical work using Matlab/Python (approx.. 2h per module). The student should provide a separate report for each of the practical work session for evaluation. Grades are based on the practicals and a final exam.

Expected student activities

  • Attending lectures
  • Processing and analysing human data
  • Testing signal processing techniques

Assessment methods

1.75 points in total for the lab/exercise sessions reports during the semester (35% of the final total grade)
3.25 points for the final exam during the examination period (65% of the final total grade)

Supervision

Assistants Yes

In the programs

  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Applied biomedical signal processing
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16   INF213 
16-17    
17-18   INF213 
18-19    
19-20     
20-21     
21-22     

Thursday, 15h - 17h: Lecture INF213

Thursday, 17h - 19h: Project, other INF213