Fine-Grained and Lightweight OSA Detection: A CRNN-Based Model for Precise Temporal Localization of Respiratory Events in Sleep Audio.

Xu M, Li Y, Han D

DOI: 10.3390/diagnostics16040577
Published: 2026 Feb 14
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16040577,
  title = {Fine-Grained and Lightweight OSA Detection: A CRNN-Based Model for Precise Temporal Localization of Respiratory Events in Sleep Audio.},
  author = {Xu M and Li Y and Han D},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16040577},
  url = {https://doi.org/10.3390/diagnostics16040577}
}

RIS

TY  - JOUR
TI  - Fine-Grained and Lightweight OSA Detection: A CRNN-Based Model for Precise Temporal Localization of Respiratory Events in Sleep Audio.
AU  - Xu M
AU  - Li Y
AU  - Han D
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16040577
UR  - https://doi.org/10.3390/diagnostics16040577
ER  -

APA

M, X., Y, L., & D, H. (2026). Fine-Grained and Lightweight OSA Detection: A CRNN-Based Model for Precise Temporal Localization of Respiratory Events in Sleep Audio.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16040577

Source records

pubmed · retrieved 2026-09-26T16:51:06.704Z