Toward a novel semi‐invasive activation mapping tool for the diagnosis of supraventricular arrhythmias from the esophagus
dc.contributor.author | Sweda, Romy | |
dc.contributor.author | Wildhaber, Reto | |
dc.contributor.author | Mortier, Simone | |
dc.contributor.author | Bruegger, Dominik | |
dc.contributor.author | Niederhauser, Thomas | |
dc.contributor.author | Goette, Josef | |
dc.contributor.author | Jacomet, Marcel | |
dc.contributor.author | Tanner, Hildegard | |
dc.contributor.author | Haeberlin, Andreas | |
dc.date.accessioned | 2024-08-13T07:37:32Z | |
dc.date.available | 2024-08-13T07:37:32Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Supraventricular arrhythmia diagnosis using the surface electrocardiogram (sECG) is often cumbersome due to limited atrial signal quality. In some instances, use of esophageal electrocardiography (eECG) may facilitate the diagnosis. Here, we present a novel approach to reconstruct cardiac activation maps from eECG recordings. | |
dc.identifier.doi | 10.1111/anec.12652 | |
dc.identifier.issn | 1082-720X | |
dc.identifier.issn | 1542-474X | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/46842 | |
dc.issue | 5 | |
dc.language.iso | en | |
dc.publisher | Wiley | |
dc.relation.ispartof | Annals of Noninvasive Electrocardiology | |
dc.subject.ddc | 600 - Technik, Medizin, angewandte Wissenschaften | |
dc.title | Toward a novel semi‐invasive activation mapping tool for the diagnosis of supraventricular arrhythmias from the esophagus | |
dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
dc.volume | 24 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | No | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Life Sciences | de_CH |
fhnw.affiliation.institut | Institut für Medizintechnik und Medizininformatik | de_CH |
fhnw.openAccessCategory | Closed | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 66894b38-407a-46f1-9e66-f573a64bf357 | |
relation.isAuthorOfPublication.latestForDiscovery | 66894b38-407a-46f1-9e66-f573a64bf357 |
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