Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection.

Regi SA, Srinivasan J, Pandi T

DOI: 10.3389/frai.2026.1913613
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1913613,
  title = {Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection.},
  author = {Regi SA and Srinivasan J and Pandi T},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1913613},
  url = {https://doi.org/10.3389/frai.2026.1913613}
}

RIS

TY  - JOUR
TI  - Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection.
AU  - Regi SA
AU  - Srinivasan J
AU  - Pandi T
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1913613
UR  - https://doi.org/10.3389/frai.2026.1913613
ER  -

APA

SA, R., J, S., & T, P. (2026). Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1913613

Source records

pubmed · retrieved 2026-09-25T11:45:17.378Z