Bioinstrumentation

LGBIO2020  2016-2017  Louvain-la-Neuve

Bioinstrumentation
5.0 credits
30.0 h + 30.0 h
1q

Teacher(s)
Verleysen Michel ; Mouraux André ;
Language
Anglais
Aims

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”.

Evaluation methods

Closed book oral examination

Teaching methods

Lectures, exercices on computers, meetings with biomedical instrument users and manufacturers (hospitals, pharmacology industry, and instrument manufacturers).

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
Bibliography

The slides used for lectures, and some scientific papers, ara available on the Moodle website of the course.

Other information

/

Faculty or entity<


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

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Mathematical Engineering
5
-

Master [120] in Electrical Engineering
5
-

Master [120] in Biomedical Engineering
5
-

Master [120] in Chemical and Materials Engineering
5
-

Master [120] in Statistics: Biostatistics
5
-

Master [120] in Computer Science and Engineering
5
-