Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography

R Huttunen, T Leppänen, B Duce, A Oksenberg… - Sleep, 2021 - academic.oup.com
Abstract Study Objectives To assess the relationship between obstructive sleep apnea
(OSA) severity and sleep fragmentation, accurate differentiation between sleep and …

Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep …

H Korkalainen, T Leppänen, B Duce… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-
wake transitions. We aimed to overcome this by analyzing the sleep architecture in more …

Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea

H Korkalainen, J Aakko, B Duce, S Kainulainen… - Sleep, 2020 - academic.oup.com
Abstract Study Objectives Accurate identification of sleep stages is essential in the diagnosis
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …

Accurate deep learning-based sleep staging in a clinical population with suspected obstructive sleep apnea

H Korkalainen, J Aakko, S Nikkonen… - IEEE journal of …, 2019 - ieeexplore.ieee.org
The identification of sleep stages is essential in the diagnostics of sleep disorders, among
which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring …

A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection

R Huttunen, T Leppänen, B Duce… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index
(AHI), which is the average number of respiratory events per hour of sleep. Recently …

SleepPPG-Net: A deep learning algorithm for robust sleep staging from continuous photoplethysmography

K Kotzen, PH Charlton, S Salabi, L Amar… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Sleep staging is an essential component in the diagnosis of sleep disorders and
management of sleep health. Sleep is traditionally measured in a clinical setting and …

Single channel ECG for obstructive sleep apnea severity detection using a deep learning approach

N Banluesombatkul, T Rakthanmanon… - TENCON 2018-2018 …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing.
The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD) …

Sleep staging from single-channel EEG with multi-scale feature and contextual information

K Chen, C Zhang, J Ma, G Wang, J Zhang - Sleep and breathing, 2019 - Springer
Purpose Portable sleep monitoring devices with less-attached sensors and high-accuracy
sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to …

U-Sleep: resilient high-frequency sleep staging

M Perslev, S Darkner, L Kempfner, M Nikolic… - NPJ digital …, 2021 - nature.com
Sleep disorders affect a large portion of the global population and are strong predictors of
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …

Real-time apnea-hypopnea event detection during sleep by convolutional neural networks

SH Choi, H Yoon, HS Kim, HB Kim, HB Kwon… - Computers in biology …, 2018 - Elsevier
Sleep apnea-hypopnea event detection has been widely studied using various biosignals
and algorithms. However, most minute-by-minute analysis techniques have difficulty …