Please check our research page for more info on our current research
We are a young and dynamic research group at the department of Physics and Astronomy led by Prof. Vandersickel (firstname.lastname@example.org). We perform research at the edge of science including physics, computer programming and medicine, a truly interdisciplinary setting. Our research focuses on the analysis of cardiac arrhythmia, which is the main cause of death in the Western society. We provide weekly guidance, step by step, while we will also invite you to come up with own ideas and allow room for creativity. We will give you insight in the scientific process of solving problems, while also focusing on personal growth. We aim for the thesis to allow you to do interesting research while also enjoying the process. Ask a former master student how he/she experienced a master thesis with us.
What are we looking for? We do not care about your previous scores, but we ask a motivated mindset and a love for programming and solving problems.
What will you do? We do not make subjects just to keep you busy, but you will actually contribute to our scientific research. We have selected subjects which are possible to investigate during one year, while also being able to actually make a contribution. If you succeed, your research should be able (maybe joined with other research) to be published in a scientific journal. How cool would that be?
One very important feature we need to add to DGM is that we can automatically classify the typeof arrhythmia based on the outcome of DGM. Currently, we need to manually inspect the left or right atrium to see the diagnosis. However, we could also make an automatic classification basedon the data. By implementing this feature, we can test the effect of the different steps in DGM on the outcome. This will provide a first step in implementing an machine learning approach to automatically set the different parameters in DGM.
This study can be executed by one or two complementary students.
Another very important feature which we would like to add to DGM is the possibility to compareDGM with phase mapping. We would like to start with the implementation of Prof. CarolineRoney, who will help you to add this feature to DGM. If the time permits, you can actually studythe difference between DGM and phase mapping on a provided dataset and write a scientific pa-per. Our hope is that DGM will outperform phase mapping, but we need to test this for different datasets.
This study can be performed by a single student.
We have invented a certain concept called Region of Collision (ROC), which helps us to identifywhich reentry loop is driving the arrhythmia when two reentry loops are simultaneously present.However, when a line of block is present, it might be possible that the ROC cannot distinguish atrue collision from a collision with a line of block. Your task will be to perform simulations underdifferent conditions, to test how the ROC performs when a line of block is present.
This project can be executed alone or with another student in combination with the next project.
Currently, we just locate the LAT on the signal of the local electrograms, which just gives us asingle information punt from a whole signal. However, we could also track double potentials, orfractionation of the signal and add this feature to DGM. Double potentials could further demon-strate whether we have a line of block or a region of collision. This will enhance the informationwe can extract from the data upon analyzing an arrhythmia.
This project can be executed alone or with another student in combination with the previous project.
For example, like the slow conductive channels, couple it to openEP to find the conduction velocities.