- KATI7M11

Informations générales

  • Number of hours

    • Lectures 22.0
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works 23.0
    • Written tests 3.0

    ECTS

    ECTS 1.0

Goal(s)

Concepts and tools of digital signal processing
Practical work in Python environment
Application to physiological signals

Content(s)

Course Map
1. Digital Signals and Fourier Transform of digital Signals
2. Discrete Fourier Transform
3. Digital systems
4. Synthesis of FIR filters

Associated practical works
1. Initiation to Python
2. Spectral analysis
3. Digital filtering applied on physiological signals : Respiratory sinus arrhythmia
4 : Mini-Project - Computation and analysis of a co-contraction index on EMG signals

Prerequisites

  • Signal processing (TIS3)
  • Acquisition (TIS3)

Calendar

The course exists in the following branches:

  • Curriculum - TIS - Semester 7

Additional Information

Course ID : KATI7M11
Course language(s): FR

You can find this course among all other courses.

Bibliography

Tompkins WS Biomedical digital signal processing, Prentice-Hall, 1993
AKAY Biomedical signal processing, Academic Press, 1994