Prediction of microsleeps using pairwise joint entropy and mutual information between EEG channels

A Baseer, SJ Weddell, RD Jones - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Microsleeps are involuntary and brief instances of complete loss of responsiveness, typically
of 0.5-15 s duration. They adversely affect performance in extended attention-driven jobs …

Bayesian multi-subject factor analysis to predict microsleeps from EEG power spectral features

R Shoorangiz, SJ Weddell… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Prediction of an imminent microsleep has the potential to save lives and prevent
catastrophic accidents. A microsleep is a brief episode of unintentional unconsciousness …

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 …

Predicting microsleep states using EEG inter-channel relationships

AB Buriro, R Shoorangiz, SJ Weddell… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A microsleep is a brief and an involuntary sleep-related loss of consciousness of up to 15 s.
We investigated the performances of seven pairwise inter-channel relationships-covariance …

[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 …

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 …

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 …

A Review of EEG-based Prediction of Microsleep

AB Buriro, G Mujtaba, S Kumar… - Quaid-e-Awam …, 2023 - publications.quest.edu.pk
Microsleep is a brief, complete, and unintentional sleep-related loss of consciousness. The
duration of microsleeps andthe probability of accidents are highly correlated. In extended …

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal

MM Hasan, MM Hossain, N Sulaiman… - Journal of …, 2024 - jtec.utem.edu.my
A microsleep is an unintentional, transient loss of consciousness correlated with sleep that
lasts up to fifteen seconds. Electroencephalogram (EEG), recordings have been extensively …

Prediction of immediately occurring microsleep events from brain electric signals

M Golz, D Sommer, J Krajewski - Current Directions in Biomedical …, 2016 - degruyter.com
This contribution addresses the question if imminent changes of the cortical state are
predictable. The analysis is based on 1484 examples of microsleep (MS) and 1940 …