Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

MA Khan, H Asadi, L Zhang, MRC Qazani… - Expert Systems with …, 2024 - Elsevier
Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …

FGANet: fNIRS-guided attention network for hybrid EEG-fNIRS brain-computer interfaces

Y Kwak, WJ Song, SE Kim - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding,
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …

EEG/FNIRS based workload classification using functional brain connectivity and machine learning

J Cao, EM Garro, Y Zhao - Sensors, 2022 - mdpi.com
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 …

Topological EEG-based functional connectivity analysis for mental workload state recognition

Y Yan, L Ma, YS Liu, K Ivanov, JH Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Mental workload (MWL) assessment is crucial in fatigue evaluation applications to avoid
potential health problems or serious accidents. This article proposes an MWL recognition …

Autonomous system for EEG-based multiple abnormal mental states classification using hybrid deep neural networks under flight environment

DH Lee, JH Jeong, BW Yu, TE Kam… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Detection of the pilots' mental states is particularly critical because their abnormal mental
states (AbSs) could cause catastrophic accidents. In this study, we presented the feasibility …

Diagnosis of Mental Disorders Using Machine Learning: Literature Review and Bibliometric Mapping from 2012 to 2023

CM Sharma, VM Chariar - Heliyon, 2024 - cell.com
Background Mental disorders (MDs) are becoming a leading burden in non-communicable
diseases (NCDs). As per the World Health Organization's 2022 assessment report, there …

Subdividing stress groups into eustress and distress groups using laterality index calculated from brain hemodynamic response

SJ Bak, J Shin, J Jeong - Biosensors, 2022 - mdpi.com
A stress group should be subdivided into eustress (low-stress) and distress (high-stress)
groups to better evaluate personal cognitive abilities and mental/physical health. However, it …

Combining robust level extraction and unsupervised adaptive classification for high-accuracy fNIRS-BCI: An evidence on single-trial differentiation between mentally …

Y Zhang, D Liu, P Zhang, T Li, Z Li, F Gao - Frontiers in neuroscience, 2022 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) is a safe and non-invasive optical imaging
technique that is being increasingly used in brain-computer interfaces (BCIs) to recognize …

Inter-brain synchrony levels according to task execution modes and difficulty levels: an fNIRS/GSR study

J Park, J Shin, J Jeong - IEEE Transactions on Neural Systems …, 2022 - ieeexplore.ieee.org
Hyperscanning is a brain imaging technique that measures brain synchrony caused by
social interactions. Recent research on hyperscanning has revealed substantial inter-brain …

Anger experience and anger expression through drawing in schizophrenia: An fNIRS study

W Yan, W Ji, C Su, Y Yu, X Yu, L Chen - Frontiers in psychology, 2021 - frontiersin.org
Differences in emotion experience and emotion expression between patients with
schizophrenia and the healthy population have long been the focus of research and clinical …