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 …

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 …

Hybrid convolutional neural network-long short-term memory model for automated detection of sleep stages

G Sudhamathy, N Valliammal… - … , IoT and Security …, 2023 - ieeexplore.ieee.org
Sleep is essential to maintain the physical and mental fitness of a living being. An irregular
sleep cycle may cause extreme drowsiness, snoring and sleep interruptions, leading to …

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 …

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 …

[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 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 …

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 …

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 …

Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework

RK Tripathy, UR Acharya - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Sleep is a physiological activity and human body restores itself from various diseases during
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …