0426 Sleep Prediction Algorithm Based On Deep Learning Technology

K Park, S Lee, S Wang, S Kim, S Lee, S Cho, S Park… - Sleep, 2019 - academic.oup.com
Introduction Clinicians believe that maladaptive sleep-related factors such as inactivity
during daytime, excessive time spent in bed, poor exposure to light, and high stress level …

Microsleep detection using Convolution Neural Network (CNN) in deep learning (DL) for accident prevention

HS Zaleha, NHA Wahab, N Ithnin - AIP Conference Proceedings, 2024 - pubs.aip.org
World Health Organization (WHO) states that approximately 1.3 million of people die every
year because of road traffic crashes. Microsleep is one of the factors of traffic crashes and …

[HTML][HTML] Intra-and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG

H Seo, S Back, S Lee, D Park, T Kim, K Lee - Biomedical signal processing …, 2020 - Elsevier
A deep learning model, named IITNet, is proposed to learn intra-and inter-epoch temporal
contexts from raw single-channel EEG for automatic sleep scoring. To classify the sleep …

NAMRTNet: Automatic classification of sleep stages based on improved ResNet-TCN network and attention mechanism

X Xu, C Chen, K Meng, L Lu, X Cheng, H Fan - Applied Sciences, 2023 - mdpi.com
Sleep, as the basis for regular body functioning, can affect human health. Poor sleep
conditions can lead to various physical ailments, such as poor immunity, memory loss, slow …

Automatic detection of microsleep episodes with deep learning

A Malafeev, A Hertig-Godeschalk… - Frontiers in …, 2021 - frontiersin.org
Brief fragments of sleep shorter than 15 s are defined as microsleep episodes (MSEs), often
subjectively perceived as sleepiness. Their main characteristic is a slowing in frequency in …

Automatic detection of microsleep episodes with feature-based machine learning

J Skorucak, A Hertig-Godeschalk, DR Schreier… - Sleep, 2020 - academic.oup.com
Abstract Study Objectives Microsleep episodes (MSEs) are brief episodes of sleep, mostly
defined to be shorter than 15 s. In the electroencephalogram (EEG), MSEs are mainly …

Prediction of microsleeps from EEG: Preliminary results

R Shoorangiz, SJ Weddell… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Brief episodes of momentarily falling asleep-microsleeps-can have fatal consequences,
especially in the transportation sector. In this study, the EEG data of eight subjects, while …

Ensemble learning based on overlapping clusters of subjects to predict microsleep states from EEG

AB Buriro, R Shoorangiz, SJ Weddell… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Microsleeps are brief and involuntary instances of complete loss of sleep-related
consciousness. We present a novel approach of creating overlapping clusters of subjects …

Detection and prediction of microsleeps from EEG using Spatio-Temporal Patterns

R Shoorangiz, AB Buriro, SJ Weddell… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
A microsleep is a brief lapse in performance due to an involuntary sleep-related loss of
consciousness. These episodes are of particular importance in occupations requiring …

Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals

M Sharma, D Anand, S Verma, UR Acharya - Engineering Applications of …, 2023 - Elsevier
Sleep is crucial for both the physical and mental well-being of human life. As the sleep
pattern varies in every individual, it is essential to develop a methodology that enables us to …