dc.contributor.author | Braun, Fabian | |
dc.contributor.author | Bonnier, Guillaume | |
dc.contributor.author | Rapin, Michaël | |
dc.contributor.author | Yilmaz, Gürkan | |
dc.contributor.author | Proust, Yara-Maria | |
dc.contributor.author | Schneider, Sophie | |
dc.contributor.author | Radan, Anda-Petronela | |
dc.contributor.author | Strahm, Karin Maya | |
dc.contributor.author | Surbek, Daniel | |
dc.contributor.author | Lemay, Mathieu | |
dc.contributor.author | Delgado-Gonzalo, Ricard | |
dc.date.accessioned | 2023-01-20T08:58:55Z | |
dc.date.available | 2023-01-20T08:58:55Z | |
dc.date.issued | 2022-07-11 | |
dc.identifier.citation | EMBC 2022, Glasgow, Scotland (UK) | |
dc.identifier.uri | https://yoda.csem.ch/handle/20.500.12839/1134 | |
dc.description.abstract | Fetal electrocardiography (fECG) has gotten widespread interest in the last years as technology for fetal monitoring. Compared to cardiotocography (CTG), the current state of the art, it can be designed in smaller formfactor and is thus suited for long-term and unsupervised monitoring. | |
dc.title | Evaluation of a Wearable System for Fetal ECG Monitoring Using Cooperative Sensors | |
dc.type | Proceedings Article | |
dc.type.csemdivisions | Div-E | |
dc.type.csemresearchareas | Data & AI | |
dc.type.csemresearchareas | IoT & Vision | |
dc.type.csemresearchareas | Digital Health | |
dc.identifier.url | https://ieeexplore.ieee.org/document/9871458 | |
dc.identifier.doi | 10.1109/EMBC48229.2022.9871458 | |