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
- Signal processing (TIS3)
- Acquisition (TIS3)
25% Contrôle continu : QCM ou test, DM, compte-rendu de TP et/ou mini-projet
75% Examen termina:
Epreuve écrite de 3 heures
Seul document autorisé : 1 feuille A4 recto-verso
Pas de calculatrice
Tiers temps : sujet adapté
The course exists in the following branches:
- Curriculum - TIS - Semester 7
Course ID : KATI7M11
Course language(s):
You can find this course among all other courses.
Tompkins WS Biomedical digital signal processing, Prentice-Hall, 1993
AKAY Biomedical signal processing, Academic Press, 1994