MLens
Privacy-preserving distributed smartphone applications to train a classifier for ECG-based diseases
Our MLens project, funded by the BMBF, has started, in collaboration with Zühlke Engineering and Tobias Graf from UKSH. The MLens project aims to develop privacy-preserving distributed smartphone applications to train a classifier for ECG-based diseases, e.g., as a warning monitor during the every day life after a heart operation.
Partner
Funded by
Contact
Prof. Dr. Esfandiar Mohammadi
Universität zu Lübeck
Institut für IT-Sicherheit
Ratzeburger Allee 160
23562 Lübeck
Homepage: https://www.its.uni-luebeck.de
Fachgebiet: Informatik
Spezialgebiet(e): Privacy-Preserving Technologies