Stress assessment based on decision fusion of EEG and fNIRS signals

F Al-Shargie, TB Tang, M Kiguchi - IEEE Access, 2017 - ieeexplore.ieee.org
emergingFusion of electroencephalography (EEG) and functional near infrared
spectroscopy (fNIRS) is an emerging approach in the field of psychological and neurological …

Mental stress assessment using simultaneous measurement of EEG and fNIRS

F Al-Shargie, M Kiguchi, N Badruddin… - Biomedical optics …, 2016 - opg.optica.org
Previous studies reported mental stress as one of the major contributing factors leading to
various diseases such as heart attack, depression and stroke. An accurate stress …

Mental stress assessment based on feature level fusion of fNIRS and EEG signals

F Al-Shargie, TB Tang, N Badruddin… - … on Intelligent and …, 2016 - ieeexplore.ieee.org
This study aims to improve the detection rate of mental stress using the complementary
nature of functional Near Infrared Spectroscopy (fNIRS) and Electroencephalogram (EEG) …

Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress

F Al-Shargie, TB Tang, N Badruddin… - … Conference on Signal …, 2015 - ieeexplore.ieee.org
Functional Near Infrared Spectroscopy (fNIRS) has been proposed as a means to detect
mental stress by measuring the concentration change of oxygenated hemoglobin (HbO) and …

Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study

F Al-Shargie, TB Tang, M Kiguchi - Biomedical optics express, 2017 - opg.optica.org
This paper presents an investigation about the effects of mental stress on prefrontal cortex
(PFC) subregions using simultaneous measurement of functional Near-Infrared …

Mental stress grading based on fNIRS signals

F Al-Shargie, TB Tang, M Kiguchi - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
In this study, we propose functional near infrared spectroscopy (fNIRS) to objectively grade
different levels of mental stress. The levels of stress were set based on the difficulty of …

Joint-channel-connectivity-based feature selection and classification on fNIRS for stress detection in decision-making

M Huang, X Zhang, X Chen, Y Mai, X Wu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Stress is one of the contributing factors affecting decision-making. Therefore, early stress
recognition is essential to improve clinicians' decision-making performance. Functional near …

The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS?

M Parent, V Peysakhovich, K Mandrick… - International Journal of …, 2019 - Elsevier
The ability to identify reliable and sensitive physiological signatures of psychological
dimensions is key to developing intelligent adaptive systems that may in turn help to mitigate …

The diagnosis of major depressive disorder through wearable fNIRS by using wavelet transform and parallel-CNN feature fusion

G Wang, N Wu, Y Tao, WH Lee, Z Cao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Depression is a common mental illness that can even lead to suicide in severe cases. Thus,
it is essential to diagnose and duly treat the depressive disorder accurately. Functional near …

Deep learning networks based decision fusion model of EEG and fNIRS for classification of cognitive tasks

MHR Rabbani, SMR Islam - Cognitive Neurodynamics, 2023 - Springer
The detection of the cognitive tasks performed by a subject during data acquisition of a
neuroimaging method has a wide range of applications: functioning of brain-computer …