Sleep Apnea Severity Estimation From Tracheal Movements Using a Deep Learning Model
- DOI
- 10.1109/access.2020.2969227
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.2969227,
title = {Sleep Apnea Severity Estimation From Tracheal Movements Using a Deep Learning Model},
author = {Maziar Hafezi and Nasim Montazeri and Shumit Saha and Kaiyin Zhu and Bojan Gavrilovic and Azadeh Yadollahi and Babak Taati},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.2969227},
url = {https://doi.org/10.1109/access.2020.2969227}
}RIS
TY - JOUR TI - Sleep Apnea Severity Estimation From Tracheal Movements Using a Deep Learning Model AU - Maziar Hafezi AU - Nasim Montazeri AU - Shumit Saha AU - Kaiyin Zhu AU - Bojan Gavrilovic AU - Azadeh Yadollahi AU - Babak Taati PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.2969227 UR - https://doi.org/10.1109/access.2020.2969227 ER -
APA
Hafezi, M., Montazeri, N., Saha, S., Zhu, K., Gavrilovic, B., Yadollahi, A., & Taati, B. (2020). Sleep Apnea Severity Estimation From Tracheal Movements Using a Deep Learning Model. IEEE Access. https://doi.org/10.1109/access.2020.2969227
Source records
- doaj · retrieved 2026-09-25T15:32:08.017Z