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Our engineering & Master degrees

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Bio and neuro imaging methods (SICOM-SIGMA S9) - 5PMSBNI7

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  • Number of hours

    • Lectures : 0
    • Tutorials : 0
    • Laboratory works : 20.0
    • Projects : 0
    • Internship : 0
    • Written tests : 0
    ECTS : 2.0

Goals

At the issue of this class, you should be able to

  • understand the particularities of (bio)medical signals and images and their processing, and
  • conduct a signal/image processing chain from raw data to its (automatic) interpretation.
Contact Ronald PHLYPO, Bertrand RIVET

Content

Automatic processing of biological/medical information is gaining importance in life science and a main challenge for companies working in the field.
In this course, after a general presentation of biomedical signal and image particularities and acquisition systems, three applications are studied in more detail during practical lab sessions.



Prerequisites

Signal processing, Random signal processing, Image processing, Probability and statistics, Programming skills in a scripting language (e.g., Matlab, Python or R)

Tests

Semester 9 - The exam is given in english only 

Reports on lab sessions

Session 1 : mark = 100% reports on lab sessions
Session 2 : analysis report of research article, mark = 50% lab reports + 50% of analysis report



Rapports de BE

Session 1 : note = 100% comptes rendus
Session 2 : article à analyser, note = 50% comptes rendus + 50% rapport d'analyse

Additional Information

Semester 9 - This course is given in english only EN

Curriculum->Double-Diploma Engineer/Master->Semester 9
Curriculum->Engineering degree->Semester 9

Bibliography

voir site web / see web site

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Date of update March 18, 2019

Université Grenoble Alpes