EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm
The mental workload can be estimated by monitoring different mental states from neural
activity. The spectral power of EEG and Event-Related Potentials (ERPs) are the two …
activity. The spectral power of EEG and Event-Related Potentials (ERPs) are the two …
Artificial intelligence modelling human mental fatigue: a comprehensive survey
Mental fatigue refers to the decline in cognitive abilities that can occur as a result of
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …
Cross-subject zero calibration driver's drowsiness detection: Exploring spatiotemporal image encoding of EEG signals for convolutional neural network classification
This paper explores two methodologies for drowsiness detection using EEG signals in a
sustained-attention driving task considering pre-event time windows, and focusing on cross …
sustained-attention driving task considering pre-event time windows, and focusing on cross …
Changes in electrical brain activity and cognitive functions following mild to moderate COVID-19: a one-year prospective study after acute infection
P Andrei Appelt, A Taciana Sisconetto… - Clinical EEG and …, 2022 - journals.sagepub.com
The coronavirus disease 2019 (COVID-19) can disrupt various brain functions. Over a one-
year period, we aimed to assess brain activity and cognitive function in 53 COVID-19 …
year period, we aimed to assess brain activity and cognitive function in 53 COVID-19 …
Mental fatigue detection using a wearable commodity device and machine learning
Mental fatigue is a psychophysiological state that has an intense adverse effect on the
quality of life, undermining both the mental and the physical health. As a consequence …
quality of life, undermining both the mental and the physical health. As a consequence …
Applying neural networks with time-frequency features for the detection of mental fatigue
The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …
neuroergonomics. Although machine learning approaches and especially deep learning …
Eeg-cognet: A deep learning framework for cognitive state assessment using eeg brain connectivity
The assessment of cognitive states such as workload, attention, and fatigue is crucial in
cognitive science and human performance fields due to its significant impact on work …
cognitive science and human performance fields due to its significant impact on work …
EEG-based cross-subject mental fatigue recognition
Mental fatigue is common at work places, and it can lead to decreased attention, vigilance
and cognitive performance, which is dangerous in the situations such as driving, vessel …
and cognitive performance, which is dangerous in the situations such as driving, vessel …
Subject-Wise Cognitive Load Detection Using Time–Frequency EEG and Bi-LSTM
Cognitive load detection using electroencephalogram (EEG) signals is a technique
employed to understand and measure the mental workload or cognitive demands placed on …
employed to understand and measure the mental workload or cognitive demands placed on …
Interweaving artificial intelligence and bio-signals in mental fatigue: unveiling dynamics and future pathways
This study conducts a thorough examination of machine learning models within Artificial
Intelligence (AI)-integrated mental fatigue research, focusing on their identification and …
Intelligence (AI)-integrated mental fatigue research, focusing on their identification and …