Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
This paper reviews published papers related to neurophysiological measurements (
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …
Artifact removal in physiological signals—Practices and possibilities
KT Sweeney, TE Ward… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The combination of reducing birth rate and increasing life expectancy continues to drive the
demographic shift toward an aging population. This, in turn, places an ever-increasing …
demographic shift toward an aging population. This, in turn, places an ever-increasing …
Regional brain wave activity changes associated with fatigue
Assessing brain wave activity is a viable strategy for monitoring fatigue when performing
tasks such as driving, and numerous studies have been conducted in this area. However …
tasks such as driving, and numerous studies have been conducted in this area. However …
EEG signal analysis for the assessment and quantification of driver's fatigue
Fatigue in human drivers is a serious cause of road accidents. Hence, it is important to
devise methods to detect and quantify the fatigue. This paper presents a method based on a …
devise methods to detect and quantify the fatigue. This paper presents a method based on a …
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN
Electroencephalogram (EEG) signals suffer substantially from motion artifacts even in
ambulatory settings. Signal processing techniques for removing motion artifacts from EEG …
ambulatory settings. Signal processing techniques for removing motion artifacts from EEG …
End-to-end fatigue driving EEG signal detection model based on improved temporal-graph convolution network
H Jia, Z Xiao, P Ji - Computers in Biology and Medicine, 2023 - Elsevier
Fatigue driving is one of the leading causes of traffic accidents, so fatigue driving detection
technology plays a crucial role in road safety. The physiological information-based fatigue …
technology plays a crucial role in road safety. The physiological information-based fatigue …
EEG-based drowsiness detection for safe driving using chaotic features and statistical tests
Electro encephalography (EEG) is one of the most reliable sources to detect sleep onset
while driving. In this study, we have tried to demonstrate that sleepiness and alertness …
while driving. In this study, we have tried to demonstrate that sleepiness and alertness …
Using Muse: Rapid mobile assessment of brain performance
OE Krigolson, MR Hammerstrom, W Abimbola… - Frontiers in …, 2021 - frontiersin.org
The advent of mobile electroencephalography (mEEG) has created a means for large scale
collection of neural data thus affording a deeper insight into cognitive phenomena such as …
collection of neural data thus affording a deeper insight into cognitive phenomena such as …
A context-aware EEG headset system for early detection of driver drowsiness
Driver drowsiness is a major cause of mortality in traffic accidents worldwide.
Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly …
Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly …
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
S Mahmud, MS Hossain, MEH Chowdhury… - Neural Computing and …, 2023 - Springer
Electroencephalogram (EEG) signals suffer substantially from motion artifacts when
recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many …
recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many …