My participation in the group focuses on the post-processing of non-invasive heart signals and BSPM to obtain spatiotemporal metrics that bring benefits for the automated characterization of atrial arrhythmias. The main objective is to be able to use the signals to help identify the main driver mechanism of the arrhythmia and its location in the atria, by using these metrics in machine learning algorithms.
Education: Bachelor of Science and Technology and Biomedical Engineering. Studying Bachelor in Neuroscience and master’s degree in Biomedical Engineering (starting in 2021.3).
Hobbies: Músic, piano, programming and games.