Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography
A novel algorithm for automatic detection of 11 fiducial points in SCG was developed and tested in subjects both with and without CD.
Authors
- Samuel Emil Schmidt (ORCID: https://orcid.org/0000-0002-0917-634X)
- Ahmad Agam (ORCID: https://orcid.org/0000-0001-6123-9072)
- Kasper Sørensen (ORCID: https://orcid.org/0000-0002-0358-9354)
- Kasper Emerek (ORCID: https://orcid.org/0000-0002-5194-2044)
- Peter Søgaard (ORCID: https://orcid.org/0000-0002-7441-0630)
- Jørn Wulff Helge (ORCID: https://orcid.org/0000-0001-9724-5423)
- Johannes J. Struijk (ORCID: https://orcid.org/0000-0002-8713-1913)
- Emil Korsgaard
Institutions
- University of Copenhagen (DK)
- Aalborg University Hospital (DK)
- Aalborg University (DK)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fdgth.2025.1699611
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Novo Nordisk