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LTT-6426 Computational Modelling of Cardiovascular and Nervous System, 5 cr |
Juha Nousiainen
No implementations
Active follow-up of the video lectures, accepted exercise works and final exam.
Completion parts must belong to the same implementation
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After completing the course you have got a detailed insights in modelling approaches, which are applied to describe and reconstruct physical properties and physiology of the cardiovascular and nervous system. You are enabled to classify modelling approaches and select appropriate models as research and development tools. Numerical methods for solving of the underlying systems of equations will be addressed with regard to their efficient implementation.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Models of ion channels and cellular electrophysiology: Hodgkin-Huxley type models, Markov models. | ||
2. | Models of cardiac and neuronal electrical conduction: cellular automata, excitation/diffusion models. | ||
3. | Mechanical models: models of cellular force development and models of passive structure mechanics. | ||
4. | Models of blood flow. | ||
5. | Models of metabolism. |
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | Computational Cardiology. Modelling of Anatomy, Electrophysiology, and Mechanics | Frank B. Sachse | 3-540-21907-2 | English | |||
Lecture slides | Lecture slides. | Sachse, F. | On the Internet. | Suomi |
Course | O/R |
LTT-6106 Bioelectromagnetism | Recommended |
LTT-6406 Modelling of Physiological Systems | Recommended |