EE-512 / 6 credits

Teacher: Vesin Jean-Marc

Language: English


Summary

The goal of this course is to introduce the techniques most commonly used for the analysis of biomedical signals, and to present concrete examples of their application for diagnosis purposes.

Content

Keywords

signal processing, biomedical engineering, signal modeling, spectral analysis, adaptive filtering

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

Teaching methods

lectures, lab sessions using Matlab

Assessment methods

1 point for lab/exercise sessions reports

2 exams: end of November 2points - final exam 3 points

Supervision

Office hours Yes
Assistants Yes

In the programs

  • Semester: Fall
  • Exam form: Written (winter session)
  • Subject examined: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 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: Biomedical signal processing
  • Lecture: 4 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10    ELD020
10-11    
11-12    ELD020
12-13     
13-14     
14-15     
15-16     
16-17   INR219 
17-18    
18-19   INR219 
19-20     
20-21     
21-22     

Thursday, 16h - 18h: Lecture INR219

Thursday, 18h - 19h: Project, other INR219

Friday, 9h - 11h: Lecture ELD020

Friday, 11h - 12h: Project, other ELD020