Recently multimodal neuroimaging which combines signals from different brain modalities
has started to be considered as a potential to improve the accuracy of diagnosis. The current …

Functional near infrared spectroscopy (fNIRS) is a non-invasive tool for monitoring functional
brain activation that records changes in oxygenated hemoglobin (HbO) and deoxygenated …

Functional near-infrared spectroscopy (fNIRS), known as a non-invasive optical
neuroimaging technique, is currently used to assess brain dynamics during the performance …

There is high demand for techniques to estimate human mental workload during some
activities for productivity enhancement or accident prevention. Most studies focus on a single …

We investigated the use of a multimodal functional neuroimaging system in quantifying
mental workload of healthy human volunteers. We recorded behavioral performance …

Knowing the actual level of mental workload is important to ensure the efficacy of brain-
computer interface (BCI) based cognitive training. Extracting signals from limited area of a …

Support vector machine (SVM) algorithms are prevalent in classifying electroencephalogram
(EEG) signals for the detection of mental stress at various levels. This study aimed to reduce …

As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

Background: This paper proposes a new emotional stress assessment system using multi-
modal bio-signals. Electroencephalogram (EEG) is the reflection of brain activity and is …

Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …