Bioinstrumentation

lgbio2020  2021-2022  Louvain-la-Neuve

Bioinstrumentation
5.00 credits
30.0 h + 30.0 h
Q1
Language
English
Learning outcomes

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
 
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
Ex-cathedra course organized physically if sanitary conditions permit, and broadcasted or recorded if required by sanitary rules.  Practical sessions on computers.  Meetings with biomedical instrument users and/or manufacturers (hospitals, pharmacology industry, and instrument manufacturers) if feasible according to sanitary rules.
Evaluation methods
The assessment consists of two parts. 
1) An assignment to be completed during the semester, which is the subject of questions in the oral examination;
2) An oral examination on the course and practical sessions.
Part 1) counts for 20% of the final assessment points, part 2) for 80%.
The oral examination may be converted into a written examination depending on external circumstances, including the number of students enrolled in the course.
Other information
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Bibliography
Les transparents présentés lors des exposés théoriques, de même que quelques articles scientifiques de référence, sont disponibles sur Moodle.
Faculty or entity


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

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Chemical and Materials Engineering

Master [120] in Electrical Engineering

Master [120] in Computer Science and Engineering

Master [120] in Electro-mechanical Engineering

Master [120] in Statistics: Biostatistics

Master [120] in Biomedical Engineering

Master [120] in Chemistry and Bioindustries

Master [120] in Mathematical Engineering