Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks

Autor: Umaer Hanif, Eric Kezirian, Eva Kirkegaard Kiar, Emmanuel Mignot, Helge B. D. Sorensen, Poul Jennum

Publikováno v: Hanif, U, Kezirian, E, Kiar, E K, Mignot, E, Sørensen, H B D & Jennum, P 2021, Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks . in Proceedings of 43 rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society . IEEE, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, pp. 3957-3960, 43 rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 01/11/2021 . https://doi.org/10.1109/EMBC46164.2021.9630098
Hanif, U, Kezirian, E, Kiar, E K, Mignot, E, Sorensen, H B D & Jennum, P 2021, Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks . in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 . IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3957-3960, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 01/11/2021 . https://doi.org/10.1109/EMBC46164.2021.9630098

Assessing the upper airway (UA) of obstructive sleep apnea patients using drug-induced sleep endoscopy (DISE) before potential surgery is standard practice in clinics to determine the location of UA collapse. According to the VOTE classification syst

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https://doi.org/10.1109/embc46164.2021.9630098