Computational network biology: data, models, and applications
Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …
biological information from the network concepts are of great significance. Benefiting from …
Driver distraction detection using bidirectional long short-term network based on multiscale entropy of EEG
Driver distraction diverting drivers' attention to unrelated tasks and decreasing the ability to
control vehicles, has aroused widespread concern about driving safety. Previous studies …
control vehicles, has aroused widespread concern about driving safety. Previous studies …
Self-regulation phenomenon emerged during prolonged fatigue driving: an EEG connectivity study
G Li, J Wang, W Xu, K Wu, Y Liu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Driving fatigue is a common experience for most drivers and can reduce human cognition
and judgment abilities. Previous studies have exhibited a phenomenon of the non …
and judgment abilities. Previous studies have exhibited a phenomenon of the non …
Toward practical driving fatigue detection using three frontal EEG channels: A proof-of-concept study
Objective. Although various driving fatigue detection strategies have been introduced, the
limited practicability is still an obstacle for the real application of these technologies. This …
limited practicability is still an obstacle for the real application of these technologies. This …
Cross-subject emotion recognition using fused entropy features of EEG
Emotion recognition based on electroencephalography (EEG) has attracted high interest in
fields such as health care, user experience evaluation, and human–computer interaction …
fields such as health care, user experience evaluation, and human–computer interaction …
[PDF][PDF] Bayesian inference of dynamic cumulative residual entropy from Pareto II distribution with application to COVID-19
Bayesian inference of dynamic cumulative residual entropy from Pareto II distribution with
application to COVID-19 Page 1 AIMS Mathematics, 6(3): 2196–2216. DOI: 10.3934/math.2021133 …
application to COVID-19 Page 1 AIMS Mathematics, 6(3): 2196–2216. DOI: 10.3934/math.2021133 …
Spatiotemporal dynamical analysis of brain activity during mental fatigue process
Mental fatigue is a common phenomenon with implicit and multidimensional properties. It
brings dynamic changes in functional brain networks. However, the challenging problem of …
brings dynamic changes in functional brain networks. However, the challenging problem of …
Dissociable effects of reward on P300 and EEG spectra under conditions of high vs. low vigilance during a selective visual attention task
The influence of motivation on selective visual attention in states of high vs. low vigilance is
poorly understood. To explore the possible differences in the influence of motivation on …
poorly understood. To explore the possible differences in the influence of motivation on …
[HTML][HTML] Analysis of modulations of mental fatigue on intra-individual variability from single-trial event related potentials
Background Intra-individual variability (IIV), a measure of variance within an individual's
performance, has been demonstrated as metrics of brain responses for neural functionality …
performance, has been demonstrated as metrics of brain responses for neural functionality …
Decoding analysis of alpha oscillation networks on maintaining driver alertness
The countermeasure of driver fatigue is valuable for reducing the risk of accidents caused by
vigilance failure during prolonged driving. Listening to the radio (RADIO) has been proven to …
vigilance failure during prolonged driving. Listening to the radio (RADIO) has been proven to …