Machine learning and its subfield deep learning techniques provide opportunities for the
development of operator mental state monitoring, especially for cognitive workload …

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 …

Brain swelling is associated with death from cerebral malaria, but it is unclear whether brain
swelling is caused by cerebral edema or vascular congestion—two pathological conditions …

In this study, we hypothesized that task performance could be evaluated applying EEG
microstate to mental arithmetic task. This pilot study also aimed at evaluating the efficacy of …

This study evaluates consumer preference from the perspective of neuroscience when a
choice is made among a number of cars, one of which is an electric car. Consumer …

Abstract Background and Objective Several software applications have been proposed in
the past years as computational tools for assessing biomedical signals. Many of them are …

Solving an arithmetic problem is a complex task which involves fact retrieval, memory,
sequencing and decision making. Automatic detection of such an activity from EEG signals …

The recent trend in healthcare is to use the automated biomedical signals processing for an
augmented and precise diagnosis. In this context, an original approach is presented for …

Cognitive load prediction is one of the most important issues in the nascent field of
neuroergonomics, and it has significant value in real-world applications. Most of the …

An emotionally recognised area of research has already been quite prominent. EEG brain
signals have recently been used to recognise an individual's mental condition. Attention …