Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
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 :
|
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
/
Online resources
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 Biomedical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Mathematical Engineering
Master [120] in Statistic: Biostatistics
Master [120] in Electro-mechanical Engineering
Master [120] in Electrical Engineering
Master [120] in Chemical and Materials Engineering