Project: Metrology of automated data analysis for cardiac arrhythmia management
| Acronym | MedalCare (Reference Number: 18HLT07) |
| Duration | 01/07/2019 - 30/06/2022 |
| Project Topic | Cardiovascular disease (CVD) is responsible for 3.9 million deaths a year in Europe. Currently, Electrocardiography (ECG) is used for a non-invasive and cost-effective way for initial clinical examinations and subsequent patient monitoring. Automated detection systems and computer-based machine learning techniques are becoming available for diagnosing and monitoring CVD such as ischemia and arrhythmia. To build trust in automated CVD diagnostics, and help reduce healthcare costs, a standardised procedure needs development to validate complex underlying algorithms and machine learning techniques. This project will develop a synthetic reference ECG measurement dataset, including healthy variations and selected CVD pathologies, to performance test CVD diagnostic devices. The project will, for the first time, provide traceability for CVD data analysis techniques. Such standardised testing will help manufacturers develop new ECG devices with improved CVD diagnosis reliability, thus helping promote uptake of the technology, both in clinical use and for monitoring equipment for use in the home. |
| Website | visit project website |
| Network | EMPIR |
| Call | EMPIR Call 2018 |
Project partner
| Number | Name | Role | Country |
|---|---|---|---|
| 1 | Physikalisch-Technische Bundesanstalt | Coordinator | Germany |
| 2 | Institut za mjeriteljstvo Bosne i Hercegovine | Partner | Bosnia and Herzegovina |
| 3 | Laboratoire national de métrologie et d'essais | Partner | France |
| 4 | NPL Management Limited | Partner | United Kingdom |
| 5 | Arrhythmia Alliance | Partner | United Kingdom |
| 6 | King's College London | Partner | United Kingdom |
| 7 | Karlsruher Institut fuer Technologie | Partner | Germany |
| 8 | Medizinische Universität Graz | Partner | Austria |
| 9 | Technische Universität Berlin | Partner | Germany |