SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals
- DOI
- 10.1016/j.bios.2026.119264
- Published
- 2027-01
- Container
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bios.2026.119264,
title = {SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals},
author = {Pratima M. Chavan and Kalyani R. Joshi and Rupali S. Kamathe},
year = {2027},
journal = {Biosensors and Bioelectronics},
doi = {10.1016/j.bios.2026.119264},
url = {https://doi.org/10.1016/j.bios.2026.119264}
}RIS
TY - JOUR TI - SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals AU - Pratima M. Chavan AU - Kalyani R. Joshi AU - Rupali S. Kamathe PY - 2027 JO - Biosensors and Bioelectronics DO - 10.1016/j.bios.2026.119264 UR - https://doi.org/10.1016/j.bios.2026.119264 ER -
APA
Chavan, P. M., Joshi, K. R., & Kamathe, R. S. (2027). SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2026.119264
Source records
- crossref · retrieved 2026-11-08T03:40:20.650Z