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 …

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 …

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 …

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 …

Fusing near-infrared spectroscopy with wearable hemodynamic measurements improves classification of mental stress

NZ Gurel, H Jung, S Hersek, OT Inan - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Human-computer interaction technology, and the automatic classification of a person's
mental state, are of interest to multiple industries. In this paper, the fusion of sensing …

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) …

A functional region decomposition method to enhance fnirs classification of mental states

J Han, J Lu, J Lin, S Zhang, N Yu - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) classification of mental states is of important
significance in many neuroscience and clinical applications. Existing classification …

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 …

Rethinking delayed hemodynamic responses for fNIRS classification

Z Wang, J Fang, J Zhang - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technology
for monitoring cerebral hemodynamic responses. Enhancing fNIRS classification can …

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 …