Improving Clinical ECG-based Atrial Fibrosis Quantification With Neural Networks Through in Silico P waves From an Extensive Virtual Patient Cohort
Nagel C., Osypka J., Anna Unger L., Nairn D., Luik A., Wakili R., Doessel O., Loewe A.ECG, Neural Network, Synthetic Data, in silico
| Document type | Proceedings |
| Journal title / Source | 2022 Computing in Cardiology Conference (CinC) |
| Volume | 49 |
| Issue | 1 |
| Publisher's name | Computing in Cardiology |
| Publisher's address (city only) | Salt Lake City, UT, United States |
| Publication date | 2022-9 |
| Conference name | Computing in Cardiology |
| Conference date | 04-09-2022 to 07-09-2022 |
| Conference place | Tampere, Finnland |
| ISSN | 2325-887X |
| DOI | 10.22489/CinC.2022.124 |
| Language | English |