Case report of early signs of aortic stenosis decompensation detected via ambient sensor-derived digital biomarkers
These findings highlight the potential of ambient sensor systems in identifying pre-clinical stages of cardiac decompensation, especially in severe aortic stenosis cases. Integrating ambient sensor systems into routine clinical practice holds promise for enhancing proactive management strategies and reducing adverse outcomes associated with cardiovascular disease progression.
Authors
- Hugo Saner (ORCID: https://orcid.org/0000-0002-8025-7433)
- Philipp Buluschek (ORCID: https://orcid.org/0000-0001-6577-200X)
- Narayan Schütz (ORCID: https://orcid.org/0000-0001-5069-407X)
- Nisha Arenja (ORCID: https://orcid.org/0000-0002-2272-0151)
- Tobias Nef (ORCID: https://orcid.org/0000-0002-8069-9450)
Institutions
- University of Bern (CH)
- Palo Alto University (US)
- University of Basel (CH)
- Bernstein Center for Computational Neuroscience Freiburg (DE)
- Solothurner Spitäler (CH)
- Stanford Medicine (US)
- École Polytechnique Fédérale de Lausanne (CH)
- Stanford University (US)
Publication Details
- Journal
- European Heart Journal - Case Reports
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1093/ehjcr/ytae655
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00