Course syllabus
Fysiologiska modeller och beräkningar
Physiological Models and Computations
FRTF01, 5 credits, G2 (First Cycle)
Valid for: 2023/24
Faculty: Faculty of Engineering, LTH
Decided by: PLED F/Pi
Date of Decision: 2023-04-18
General Information
Main field: Technology.
Compulsory for: BME3
Elective for: Pi4
Language of instruction: The course will be given in English
Aim
The aim of the course is to introduce important concepts,
notions and methods in physiological modeling and computations
including quantitative comparisons with physiological och medical
measurements and phenomena. The course also provides a solid
introduction to studies of biological and medical control systems
based on feedback.
Learning outcomes
Knowledge and understanding
For a passing grade the student must
- have an understanding of dynamic physiological processes and
identify their occurrence in different organ systems;
- have an understanding of the relevance, strength and
limitations of dynamic models of physiological systems;
- know how different types of differential equation-based models
can be used to describe, simulate and analyze physical
processes;
- have an understanding of how the seemingly different
physiological systems that are considered fit well into the
modeling framework that is built up during the course.
Competences and skills
For a passing grade the student must
- be able to decompose modeling problems into smaller
subproblems;
- be able to make basic quantitative analysis of various
physiological systems, including both unit analysis and
plausibility analysis of the model's time scale and the size of
internal states and signals;
- be able to make use of physiological modeling knowledge in
simulations;
- be able to apply physiological modeling in order to judge the
relevance of different medical engineering solutions.
Judgement and approach
For a passing grade the student must
- be able to interpret and discuss information from medical
literature;
- be able to communicate with healthcare professionals about
physiological modeling and technical systems.
Contents
- Physiological complexity: statics, equilibrium, homeostasis,
dynamics, simulation.
- Modeling: dynamic systems, differential equations, linear
dynamics, transfer functions, compartment models.
- Linear dynamics: linearization of nonlinear dynamics,
state-space form, transfer functions, time and frequency response,
circuit equivalents, block diagrams.
- Simulation: ODE solvers, implementation of simulation models in
software.
- Modeling and measurement data.
- Examples of physiological systems that occur in the course:
Enzyme dynamics: Michalis Menten kinetics. Pharmacokinetics:
compartment models. Biomechanics: constitutive models. Dynamics of
the respiratory system: RIC and Mead models. Blood vessel dynamics:
Windkessel models.
Examination details
Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam. Four hand-in exercises and one project. In the case of less than 5 registered students, the retake exams may be given in oral form.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Parts
Code: 0114. Name: Physiological Models and Computations.
Credits: 4. Grading scale: TH. Assessment: Passed exam
Code: 0214. Name: Hand-In 1.
Credits: 0. Grading scale: UG.
Code: 0314. Name: Hand-In 2.
Credits: 0. Grading scale: UG.
Code: 0414. Name: Hand-In 3.
Credits: 0. Grading scale: UG.
Code: 0514. Name: Hand-In 4.
Credits: 0. Grading scale: UG.
Code: 0614. Name: Project.
Credits: 1. Grading scale: UG. Assessment: Written report and oral presentation
Admission
Assumed prior knowledge: FMAB45/50/60 Calculus in One Variable A1/A2/A3, FMAB20 Linear Algebra and BMEA05 Signals and Systems.
The number of participants is limited to: No
Reading list
- A course compendium and a collection of exercises will be available free of charge as a pdf for students in the course.
Contact and other information
Course coordinator: Kristian Soltesz, kristian.soltesz@control.lth.se
Director of studies: Björn Olofsson, bjorn.olofsson@control.lth.se
Course homepage: http://www.control.lth.se/course/FRTF01