Fares Al-Shargie
Cited by
Cited by
Mental stress assessment using simultaneous measurement of EEG and fNIRS
F Al-Shargie, M Kiguchi, N Badruddin, SC Dass, AFM Hani, TB Tang
Biomedical optics express 7 (10), 3882-3898, 2016
Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
F Al-Shargie, TB Tang, N Badruddin, M Kiguchi
Medical & biological engineering & computing 56, 125-136, 2018
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 8 (5), 2583-2598, 2017
Mental stress quantification using EEG signals
FM Al-Shargie, TB Tang, N Badruddin, M Kiguchi
International Conference for Innovation in Biomedical Engineering and Life …, 2016
Stress assessment based on decision fusion of EEG and fNIRS signals
F Al-Shargie, TB Tang, M Kiguchi
IEEE Access 5, 19889-19896, 2017
A review on mental stress assessment methods using EEG signals
R Katmah, F Al-Shargie, U Tariq, F Babiloni, F Al-Mughairbi, ...
Sensors 21 (15), 5043, 2021
Vigilance decrement and enhancement techniques: a review
F Al-Shargie, U Tariq, H Mir, H Alawar, F Babiloni, H Al-Nashash
Brain sciences 9 (8), 178, 2019
Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress
F Al-Shargie, TB Tang, N Badruddin, M Kiguchi
2015 IEEE International Conference on Signal and Image Processing …, 2015
Emotion recognition based on fusion of local cortical activations and dynamic functional networks connectivity: An EEG study
F Al-Shargie, U Tariq, M Alex, H Mir, H Al-Nashash
IEEE Access 7, 143550-143562, 2019
Mental stress grading based on fNIRS signals
F Al-shargie, TB Tang, M Kiguchi
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Brain connectivity analysis under semantic vigilance and enhanced mental states
F Al-Shargie, U Tariq, O Hassanin, H Mir, F Babiloni, H Al-Nashash
Brain sciences 9 (12), 363, 2019
EEG-based semantic vigilance level classification using directed connectivity patterns and graph theory analysis
FM Al-Shargie, O Hassanin, U Tariq, H Al-Nashash
IEEE Access 8, 115941-115956, 2020
Mental stress assessment based on feature level fusion of fNIRS and EEG signals
F Al-shargie, TB Tang, N Badruddin, SC Dass, M Kiguchi
2016 6th International Conference on Intelligent and Advanced Systems (ICIAS …, 2016
Discrimination of genuine and acted emotional expressions using EEG signal and machine learning
M Alex, U Tariq, F Al-Shargie, HS Mir, H Al Nashash
IEEE Access 8, 191080-191089, 2020
Early detection of mental stress using advanced neuroimaging and artificial intelligence
F Al-Shargie
arXiv preprint arXiv:1903.08511, 2019
Enhancing EEG signals in brain computer interface using intrinsic time-scale decomposition
EA Mohamed, MZ Yusoff, IK Adam, EA Hamid, F Al-Shargie, M Muzammel
Journal of Physics: Conference Series 1123 (1), 012004, 2018
EEG mental stress assessment using hybrid multi-domain feature sets of functional connectivity network and time-frequency features
A Hag, D Handayani, T Pillai, T Mantoro, MH Kit, F Al-Shargie
Sensors 21 (18), 6300, 2021
Fusion of fNIRS and EEG Signals: Mental Stress Study
F Al-Shargie
engrXiv, 2019
Enhancing EEG-based mental stress state recognition using an improved hybrid feature selection algorithm
A Hag, D Handayani, M Altalhi, T Pillai, T Mantoro, MH Kit, F Al-Shargie
Sensors 21 (24), 8370, 2021
Multilevel assessment of mental stress using SVM with ECOC: an EEG approach
F Al-Shargie
Engineering Archive, 2019
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