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 …

Effects of daily stress in mental state classification

S Park, SY Dong - IEEE Access, 2020 - ieeexplore.ieee.org
An external stimulus, event, or environment that stresses an individual is called a stressor.
Many mental stress detection studies have been focused on the discrimination of the mental …

Discrimination of mental workload levels from multi-channel fNIRS using deep leaning-based approaches

TKK Ho, J Gwak, CM Park, JI Song - Ieee Access, 2019 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS), known as a non-invasive optical
neuroimaging technique, is currently used to assess brain dynamics during the performance …

Deep leaning-based approach for mental workload discrimination from multi-channel fNIRS

TKK Ho, J Gwak, CM Park, A Khare, JI Song - Recent Trends in …, 2019 - Springer
As a non-invasive optical neuroimaging technique, functional near infrared spectroscopy
(fNIRS) is currently used to assess brain dynamics during the performance of complex works …

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 …

Attention classification based on biosignals during standard cognitive tasks for occupational domains

P Gamboa, R Varandas, J Rodrigues, C Cepeda… - Computers, 2022 - mdpi.com
Occupational disorders considerably impact workers' quality of life and organizational
productivity, and even affect mortality worldwide. Such health issues are related to mental …

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 …

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) …

EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other

M Bagheri, SD Power - Journal of Neural Engineering, 2020 - iopscience.iop.org
Objective. A passive brain-computer interface (pBCI) is a system that continuously adapts
human-computer interaction to the user's state. Key to the efficacy of such a system is the …

[HTML][HTML] Quality analysis of heart rate derived from functional near-infrared spectroscopy in stress assessment

M Mirbagheri, N Hakimi, E Ebrahimzadeh… - Informatics in Medicine …, 2020 - Elsevier
Abstract Background Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive
technique for studying brain hemodynamics. Since brain hemodynamics also involves …