Explainable deep learning-based classification of Wolff-Parkinson-White electrocardiographic signals

Alice Ragonesi, Stefania Fresca, Karli Gillette, Stefan Kurath-Koller, Gernot Plank, Elena Zappon

Open source

DOI: 10.3389/fphys.2026.1855555
Published: 2026-09-23
Container: Frontiers in Physiology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fphys.2026.1855555,
  title = {Explainable deep learning-based classification of Wolff-Parkinson-White electrocardiographic signals},
  author = {Alice Ragonesi and Stefania Fresca and Karli Gillette and Stefan Kurath-Koller and Gernot Plank and Elena Zappon},
  year = {2026},
  journal = {Frontiers in Physiology},
  doi = {10.3389/fphys.2026.1855555},
  url = {https://doi.org/10.3389/fphys.2026.1855555}
}

RIS

TY  - JOUR
TI  - Explainable deep learning-based classification of Wolff-Parkinson-White electrocardiographic signals
AU  - Alice Ragonesi
AU  - Stefania Fresca
AU  - Karli Gillette
AU  - Stefan Kurath-Koller
AU  - Gernot Plank
AU  - Elena Zappon
PY  - 2026
JO  - Frontiers in Physiology
DO  - 10.3389/fphys.2026.1855555
UR  - https://doi.org/10.3389/fphys.2026.1855555
ER  -

APA

Ragonesi, A., Fresca, S., Gillette, K., Kurath-Koller, S., Plank, G., & Zappon, E. (2026). Explainable deep learning-based classification of Wolff-Parkinson-White electrocardiographic signals. Frontiers in Physiology. https://doi.org/10.3389/fphys.2026.1855555

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crossref · retrieved 2026-11-11T03:15:54.216Z