Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
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 …
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
Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding,
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …
EEG/FNIRS based workload classification using functional brain connectivity and machine learning
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 …
activities for productivity enhancement or accident prevention. Most studies focus on a single …
Topological EEG-based functional connectivity analysis for mental workload state recognition
Mental workload (MWL) assessment is crucial in fatigue evaluation applications to avoid
potential health problems or serious accidents. This article proposes an MWL recognition …
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
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 …
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 …
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
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 …
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 …
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
Hyperscanning is a brain imaging technique that measures brain synchrony caused by
social interactions. Recent research on hyperscanning has revealed substantial inter-brain …
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 …
schizophrenia and the healthy population have long been the focus of research and clinical …