Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Time-step level sleep apnea detection using LSTM with adaptive thresholding in polysomnography
Related
- Polysomnography harmonization schemes: A multi-institutional sleep research resource
- The role of polysomnography in Parkinson's disease: objective sleep assessment and clinical indications
- In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.
- Home video sleep recording as a predictor of polysomnography-diagnosed obstructive sleep apnoea in a developmentally normal paediatric population
- Hypnodensity sleep metrics from fingertip photoplethysmography are better associated with daytime sleepiness and fatigue than traditional metrics from polysomnography
BibTeX
@article{woo2026timestep,
title = {{Time-step level sleep apnea detection using LSTM with adaptive thresholding in polysomnography}},
author = {Dongwon Woo and Sangwook Kim and Sungmoon Jeong and Jong-Geun Seo},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-73457-z},
url = {https://www.nature.com/articles/s41598-026-73457-z},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Time-step level sleep apnea detection using LSTM with adaptive thresholding in polysomnography
AU - Dongwon Woo
AU - Sangwook Kim
AU - Sungmoon Jeong
AU - Jong-Geun Seo
PY - 2026
DA - 2026/10/09
JO - Scientific Reports
DO - 10.1038/s41598-026-73457-z
UR - https://www.nature.com/articles/s41598-026-73457-z
SN - 2045-2322
ER -