Focus: Computational Modeling
Join us for an immersive short course on “Computational Electrophysiology”, designed to provide a comprehensive understanding of this dynamic field. Hosted by leading experts, this course is ideal for those with a background in mathematical calculus and computer programming, and it is also accessible to a broader audience including physicians, biologists, engineers, applied mathematicians, and related professionals.
Introduction to Computational Electrophysiology
– Properties of action potential
– Impulse propagation: chemical vs electrical synapse
– Propagation and spiral waves
Control of Cell Volume and Transmembrane Potential
– Interstitial flow, diffusion, pressure difference, electrical potential
– Membrane: diffusion and active transport for oxygen and nutrients (energy -> ATP), aquaporin and osmosis, ion channel and Nernst potential, sodium-potassium pump, volume control
The Action Potential
– Phases, Goldman Equation, model for ion channel switching, HH, Markov Chain, FHN, cardiac models
– Calcium
– Cardiac cell phenotypes
Action Potential Propagation in Tissue
– Myocyte geometry, cardiac fibers, cable equation, gap junctions
– Bidomain, monodomain, arrhythmia with or without obstacles (functional and anatomical), electrotonic effect, phenotypes
From cellular properties to chaos in tissue
– Alternans, Restitution Curves, and Cardiac Arrhythmias
MonoAlg3D and MonoWeb
– Introduction to the MonoAlg3D cardiac simulator
Ventricular Arrhythmias
– Modeling cardiac ventricular arrhythmias
ECG and Cardiac Electrograms
– Modeling electrocardiograms and cardiac electrograms
Language:English
Host: Rodrigo Weber dos Santos, Bernardo Martins Rocha, Rafael Sachetto Olveira, Noemi Zeraick Monteiro
Lecturer: Fernando Otaviano Campos (Kings College London -UK)
Mode of instruction : Science Center, Auditorium 1
Courseload: 15h
Date&Time:Jul 22-26 and Jul 31-Aug 2, 9am-11am
Target audience: undergraduate and graduate students
Spots available: 60
Sustainable Development Goals (SDG): 3, 4 and 9