Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based …

V Krishnamoorthy, R Shoorangiz… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Any occupation which involves critical decision making in real-time requires attention and
concentration. When repetitive and expanded working periods are encountered, it can result …

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 …

A deep learning approach to detect microsleep using various forms of EEG signal

SKB Sangeetha, SK Mathivanan… - Mathematical …, 2023 - Wiley Online Library
Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness
behind the wheel. Using EEG technology for driving fatigue detection still presents …

Investigating the neural signature of microsleeps using EEG

MH Zaky, R Shoorangiz, GR Poudel… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
A microsleep (MS) is a complete lapse of responsiveness due to an episode of brief sleep (≲
15 s) with eyes partially or completely closed. MSs are highly correlated with the risk of car …

[PDF][PDF] Prediction of microsleeps using EEG inter-channel relationships

AB Buriro - 2019 - ir.canterbury.ac.nz
A microsleep is a brief and involuntary sleep-related loss of consciousness of up to 15 s
during an active and attention-demanding task. Such episodes of unresponsiveness are of …

Optimized echo state networks with leaky integrator neurons for EEG-based microsleep detection

SSDP Ayyagari, RD Jones… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
The performance of a microsleep detection system was calculated in terms of its ability to
detect the behavioural microsleep state (1-s epochs) from spectral features derived from 16 …

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal

S Chambon, V Thorey, PJ Arnal, E Mignot… - Journal of Neuroscience …, 2019 - Elsevier
Background Electroencephalography (EEG) monitors brain activity during sleep and is used
to identify sleep disorders. In sleep medicine, clinicians interpret raw EEG signals in so …

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 …

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 …

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 …