Bioinstrumentation [ LGBIO2020 ]

> https://moodleucl.uclouvain.be/course/view.php?id=86

Biomedical instrumentation has its own requirements in terms of problem complexity, requirement analysis, difficulties to interface technical parts to biological systems, and security problems.  These fundamental principles will be addressed through concrete examples of medical or biological applications described in terms of objectives, methods, results and limitations.  Data analysis represents a major element in the development of biomedical instrumentation.  The information can be exploited only if it is processed to lead to conclusions and decisions, for example in terms of diagnosis and prognosis.  Data analysis, transformation, filtering and machine learning are concepts that are strongly linked to the measure itself.  The course covers these principles, examples and concepts, situates them in their context, helps perceiving the significance and impact of biomedical instrumentation, develops basic skills in data and signal analysis and gives the fundamental to help developing more advanced skills.

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

More precisely, at the end of this course, students will be able to:

• understand the specific requirements of biomedical instrumentation
• consider each medical application in its context
• read the scientific literature about bioinstrimentation
• use the basic principles of information extraction with data and signal analysis
• apply these principles with simple linera and nonlinbear data analysis algorithms
• understand and use the fundamental methods in signal analysis and filteri

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”.

Closed book oral examination

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

• 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

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

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