Inconclusive Single-Lead ECGs From Smart-Devices
Automated rhythm classification is highly susceptible to baseline ECG anomalies. This study provides insights into the most appropriate patient population for smart device-based arrhythmia monitoring and offers guidance for selecting the optimal smart device tailored to individual patient characteristics.
Authors
- Philipp Krisai (ORCID: https://orcid.org/0000-0002-4367-2363)
- Luke Mosher
- Teodor Serban (ORCID: https://orcid.org/0000-0002-2377-2893)
- Jonas Brügger
- Behnam Subin (ORCID: https://orcid.org/0000-0002-4997-9841)
- Felix Mahfoud (ORCID: https://orcid.org/0000-0002-4425-549X)
- Michael Kühne (ORCID: https://orcid.org/0000-0002-2937-3711)
- Jeanne du Fay de Lavallaz (ORCID: https://orcid.org/0000-0002-0806-1786)
- Beat Schaer (ORCID: https://orcid.org/0000-0003-1768-1968)
- Diego Mannhart (ORCID: https://orcid.org/0000-0003-0408-8313)
- Fabian Jordan (ORCID: https://orcid.org/0009-0004-4831-7274)
- Sven Knecht (ORCID: https://orcid.org/0000-0001-7122-021X)
- Christian Sticherling (ORCID: https://orcid.org/0000-0001-8428-7050)
- Corinne Isenegger
- S Weidlich (ORCID: https://orcid.org/0000-0002-9160-8331)
- Patrick Badertscher
- Nicolas Schaerli (ORCID: https://orcid.org/0000-0002-6499-5866)
Institutions
- University Hospital of Basel (CH)
Publication Details
- Journal
- JACC. Clinical electrophysiology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.jacep.2025.04.027
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.39