A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …
studies to explore the organization of network patterns. The computation of graph theory …
Cognitive and affective brain–computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review
Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …
educational learning environment, which faces many challenges and shortcomings …
Measuring mental workload with EEG+ fNIRS
We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …
mental workload (MWL). We have used electroencephalography (EEG) and functional near …
EEG fingerprints of task-independent mental workload discrimination
In the nascent field of neuroergonomics, mental workload assessment is one of the most
important issues and has an apparent significance in real-world applications. Although prior …
important issues and has an apparent significance in real-world applications. Although prior …
EEG-based prediction of cognitive load in intelligence tests
Measuring and assessing the cognitive load associated with different tasks is crucial for
many applications, from the design of instructional materials to monitoring the mental well …
many applications, from the design of instructional materials to monitoring the mental well …
Mental workload drives different reorganizations of functional cortical connectivity between 2D and 3D simulated flight experiments
Despite the apparent usefulness of efficient mental workload assessment in various real-
world situations, the underlying neural mechanism remains largely unknown, and studies of …
world situations, the underlying neural mechanism remains largely unknown, and studies of …
A three-class classification of cognitive workload based on EEG spectral data
M Plechawska-Wójcik, M Tokovarov, M Kaczorowska… - Applied sciences, 2019 - mdpi.com
Evaluation of cognitive workload finds its application in many areas, from educational
program assessment through professional driver health examination to monitoring the …
program assessment through professional driver health examination to monitoring the …
Cross-subject EEG emotion classification based on few-label adversarial domain adaption
Y Wang, J Liu, Q Ruan, S Wang, C Wang - Expert Systems with …, 2021 - Elsevier
Emotion classification signal based on the electroencephalogram (EEG) is an important part
of big data associated with health. One of the main challenges in this regard is the varying …
of big data associated with health. One of the main challenges in this regard is the varying …
Study of EEG characteristics while solving scientific problems with different mental effort
Y Zhu, Q Wang, L Zhang - Scientific Reports, 2021 - nature.com
Studying the mental effort in problem-solving is important to the understanding of how the
brain allocates cognitive resources to process information. The electroencephalogram is a …
brain allocates cognitive resources to process information. The electroencephalogram is a …
Multi-agent system for students cognitive assessment in e-learning environment
There is a widespread increase of adoption of e-learning platforms, there is a great need to
develop effective methods for assessing students' cognitive abilities to deal with that …
develop effective methods for assessing students' cognitive abilities to deal with that …