Bioinstrumentation

lgbio2020  2017-2018  Louvain-la-Neuve

Bioinstrumentation
5 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Mouraux André; Verleysen Michel;
Language
English
Aims

At the end of this learning unit, the student is able to :

1

With respect to the AA referring system defined for the Master in Biomedical Engineering, the course contributes to the development, mastery and assessment of the following skills :

  • AA1.1, AA1.2, AA1.3
  • AA2.1, AA2.2, AA2.3, AA2.4
  • AA3.2
  • AA6.1, AA6.2, AA6.3
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
  • specifics of measurements and instruments in clinic and biology
  • electric and magnetic stimulation and recording
  • use of other energy types (indications, methods and interest)
  • safety notions (patient and user protection, asepsis and sterilization, device compatibility)
  • application examples, especially those requiring a mathematical analysis (ECG, EEG, evoked potentials, etc..)
  • descriptive methods of data analysis
  • single- and multi-variable analysis
  • linear and non-linear regression
  • classification
  • principal components analysis
  • frequency analysis of signals, spectrum and sampling
Teaching methods
Lectures, exercices on computers, meetings with biomedical instrument users and manufacturers (hospitals, pharmacology industry, and instrument manufacturers).
Evaluation methods
Closed book oral examination
Other information
/
Bibliography
Les transparents présentés lors des exposés théoriques, de même que quelques articles scientifiques de référence, sont disponibles sur Moodle.
Faculty or entity
GBIO


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Electro-mechanical Engineering

Master [120] in Electrical Engineering

Master [120] in Biomedical Engineering

Master [120] in Mathematical Engineering

Master [120] in Computer Science and Engineering

Master [120] in Statistics: Biostatistics

Master [120] in Chemical and Materials Engineering