“EEG-based DIagnosis Support solutiON” (EDISON) to help close the epilepsy diagnosis gap in Low- and Middle-Income Countries (LMICs) by combining low CAPEX and AI-guided capture with telemedicine

Project Information

EDISON

Grant agreement ID: 190170276

DOI

10.3030/190170276

Project closed

EC signature date 27 July 2022

Start date 1 June 2022

End date 28 February 2025

Funded under

• The European Innovation Council (EIC)

Total cost

€ 3 022 110,00

EU contribution

€ 2 078 428,00

Coordinated by

BRAINCAPTURE APS
Denmark

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Compile at least 2 papers for publication in relevant peer-reviewed journals based on tests
BrainCapture obtains ISO13485 certification

Publications

Conference proceedings (1)

Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning

Author(s): Anders Gjølbye, Lina Skerath, William Lehn-Schiøler, Nicolas Langer, Lars Kai Hansen
Published in: 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024
Publisher: IEEE
DOI: 10.1109/MLSP58920.2024.10734749

Peer reviewed articles (1)

Low‐cost portable <scp>EEG</scp> device for bridging the diagnostic gap in resource‐limited areas

Author(s): Sidsel Armand Larsen, Louise Klok, William Lehn‐Schiøler, Radu Gatej, Sándor Beniczky
Published in: Epileptic Disorders, Issue 26, 2024, ISSN 1294-9361
Publisher: Wiley
DOI: 10.1002/EPD2.20266