AVATAR - Anonymization of personal health data by creating digital avatars in medicine and care

 

Description

Until recently, the "zig zag" curves from the recordings of brain activity by means of electroencephalography (EEG) have been considered unidentifiable. Recent advances in artifical intelligence have demonstrated, that deep neural networks can recognize the recordings from individual patients. This finding puts the anonymity of patients in public datasets at risk.

In this project, we aim to research how EEG recordings can be anonymized and what implications result for publicly sharing EEG data.

Sponsorship

  • Funded by the European Union - NextGenerationEU. The views and opinions expressed are solely those of the author(s) and do not necessarily reflect the views of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.