Bioresponse Measurements and Process Control (B-KUL-H06A5A)
Aims
The first objective is to give an overview of the state of the art in technology and principles that allow to measure the dynamic responses of living organisms (humans, animals, plants). The integration of these responses is possible when these responses can be measured in a continuous on-line way. The course gives an overview of the principles to demonstrate that many sensors and techniques are available to measure on-line biological responses from humans, animals and plants.
The second step shows how to use these signals to model the dynamic behaviour of the complex individual and time varying dynamic (CITD) living organism to variations in the environment. Environment is here defined as all variables that are not genetically defined such as physics, chemical, nutrition, medication, etc.
In this second step the objective is to demonstrate how these CITD systems can be modelled in an efficient way by using on-line data based mechanistic models.
The third step wants to educate how an objective function can be calculated to develop model based controllers for living organisms. These principles can be used to develop monitoring and control algorithms in a wide range of biological processes such as environment control in livestock houses, greenhouses and storage systems, monitoring and treatment of critical ill patients in intensive care units, on-line monitoring off animal welfare, bio-monitoring of water quality or environment quality.
Is included in these courses of study
- Master in de nanowetenschappen, nanotechnologie en nano-engineering (Leuven) 120 ects.
- Master of Nanoscience, Nanotechnology and Nanoengineering (Leuven) 120 ects.
- Courses for Exchange Students Faculty of Engineering Science (Leuven)
- Erasmus Mundus Master of Science in Nanoscience and Nanotechnology (Leuven et al) 120 ects.
- Master of Bioscience Engineering: Sustainable Urban Bioscience Engineering (Leuven et al) 120 ects.
Activities
3 ects. Modelling of Biosystems: Lectures (B-KUL-I0V02a)
Content
Part 1 – Introduction
- Chapter 1. Introduction and examples
Part 2 - Real-time measurement of bioresponses
- Chapter 2. Advanced sensors & measurement systems.
- Chapter 3. Image processing & sound analysis
Part 3 - Digital signal processing
- Chapter 4. Introduction to linear time invariant systems
- Chapter 5. Impulse and frequency response of linear time invariant systems
- Chapter 6. The z-transform and poles/zeros of discrete time linear time invariant systems
- Chapter 7. Discrete Fourier transforms
Part 4 - Data-based modeling of bioresponses
- Chapter 8. Introductory concepts
- Chapter 9. Generation of measurement data for data-based modeling
- Chapter 10. Time-invariant parameter estimation in the time and frequency domain
- Chapter 11. Determining model complexity
- Chapter 12. Biological interpretation of data-based models
- Chapter 13. Time-variant parameter estimation
- Chapter 14. Introduction to artificial intelligence
- Chapter 15. Machine learning and deep learning
Part 5 - Management of biological processes
- Chapter 16. Model-based monitoring of bioresponses
- Chapter 17. Integration of bioresponses into practice
Course material
Slides, articles, copies of chapters from books and recording are available via Toledo.
Format: more information
Blended learning - Class recording - Traditional lecture
Is also included in other courses
Evaluation
Evaluation: Bioresponse Measurements and Process Control (B-KUL-H26A5a)
Explanation
You will be evaluated by means of a written exam, where your knowledge of the subject matter will be examined on the basis of theoretical questions and calculations.