General PhD research project for WASP funded student
Title: General PhD research project for WASP funded student
SNIC Project: Berzelius-2021-57
Project Type: LiU Berzelius
Principal Investigator: Daniel Gedon <daniel.gedon@it.uu.se>
Affiliation: Uppsala universitet
Duration: 2021-10-04 – 2022-05-01
Classification: 10202
Homepage: https://mp.uu.se/web/profilsidor/start/-/emp/N19-1795
Keywords:

Abstract

This project supports the general PhD studies and compute related research projects of the WASP funded Phd student Daniel Gedon. It relates to this two research interests: (1) self-supervised methods and their properties as well as (2) classification of ECG recordings with deep learning based models. For the latter Berzelius would only be used with non-sensitive data. Meeting the goals of this project supports the successful graduation the WAS funded PhD student as well as the advancement of (1) understanding of self-supervised methods and (2) decision support tools for medical doctors in cardiovascular related decisions.