BMT-63306 Modelling of Physiological Systems, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Aapo Tervonen, Jari Hyttinen

Lessons

Implementation Period Person responsible Requirements
BMT-63306 2017-01 1 - 2 Aapo Tervonen
Accepted final exam, exercise work and seminar presentation.

Learning Outcomes

Student can recognize the importance of modelling as a tool to study physiological systems and biomeasurement systems. Student can explain different modelling methods and procedures including various model classes and methods from physical and analog models to finite element applications as well as how different models can be constructed and used. Student can analyze forward and inverse problems. Student has got practiced on modelling physiological systems with COMSOL multiphysics foftware.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Modelling of physiological systems compared to pure "engineering" problems. Model classes and types for physiological systems. Model-analogue, descriptive-predictive, empirical-mathematical. How to build models of physiological systems.  Use of apriori information, computational tools and measurements in model construction.   
2. Finite element modelling (FEM) in modelling 3D physiological systems: basic principles, techniques and applications. FEM, FDM, BEM.     
3. Modelling biological and physiological processes by cellular automata.  Modelling of cardiac activation and neural systems.   
4. Forward and inverse problems. Use of models of physiological systems for determination of forward and inverse solutions, a priori information, data, and model.  Various inverse problem regularization methods and their applications.   

Instructions for students on how to achieve the learning outcomes

The final grade of the course is determined based on the assessment of all part of the course. The weighting factor of each part is given at the beginning of the course. Grades 1-2: Learning outcomes have been achieved. Satisfactory command in core content of the course. Grades 3-4: Some learning outcomes have been exceeded qualitatively or quantitatively. Good command in core content and complementary knowledge of the course. Good or very good marks from all parts of the course. Grade 5: Most of the learning outcomes have been exceeded. Deep command in the whole content of the course. Almost maximum performance in all parts of the course.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Introduction to Modeling in Physiology and Medicine   Claudio Cobelli and Ewart Carson   978-0-12-160240-6       Yes   
Lecture slides   Modelling of Physiological Systems   A. Tervonen       On the Internet   Yes   



Correspondence of content

Course Corresponds course  Description 
BMT-63306 Modelling of Physiological Systems, 5 cr ELT-63306 Modelling of Physiological Systems, 5 cr  

Updated by: Asunmaa Piia, 28.03.2017