Machine learning framework for the detection of mental stress at multiple levels AR Subhani, W Mumtaz, MNBM Saad, N Kamel, AS Malik IEEE Access 5, 13545-13556, 2017 | 272 | 2017 |
Classification of EEG signals based on pattern recognition approach HU Amin, W Mumtaz, AR Subhani, MNM Saad, AS Malik Frontiers in computational neuroscience 11, 103, 2017 | 213 | 2017 |
A physiological signal-based method for early mental-stress detection L Xia, AS Malik, AR Subhani Cyber-Enabled Intelligence, 259-289, 2019 | 98 | 2019 |
EEG SIGNALSTO MEASURE MENTAL STRESS R Subhani, L Xia, AS Malik | 59 | 2011 |
Mitigation of stress: new treatment alternatives AR Subhani, N Kamel, MN Mohamad Saad, N Nandagopal, K Kang, ... Cognitive neurodynamics 12, 1-20, 2018 | 55 | 2018 |
Association of autonomic nervous system and EEG scalp potential during playing 2D grand turismo 5 AR Subhani, X Likun, AS Malik 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 51 | 2012 |
Association of mental stress with video games AR Subahni, L Xia, AS Malik 2012 4th International Conference on Intelligent and Advanced Systems …, 2012 | 40 | 2012 |
MRMR based feature selection for the classification of stress using EEG AR Subhani, W Mumtaz, N Kamil, NM Saad, N Nandagopal, AS Malik 2017 Eleventh International Conference on Sensing Technology (ICST), 1-4, 2017 | 31 | 2017 |
Quantification of physiological disparities and task performance in stress and control conditions AR Subhani, L Xia, AS Malik, Z Othman 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 20 | 2013 |
Real-time stress assessment using sliding window based convolutional neural network SF Naqvi, SSA Ali, N Yahya, MA Yasin, Y Hafeez, AR Subhani, SH Adil, ... Sensors 20 (16), 4400, 2020 | 15 | 2020 |
Difference in brain dynamics during arithmetic task performed in stress and control conditions AR Subhani, AS Malik, N Kamil, MNM Saad 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2016 | 12 | 2016 |
Dynamics of scalp potential and autonomic nerve activity during intelligence test HU Amin, AS Malik, AR Subhani, N Badruddin, WT Chooi Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 12 | 2013 |
Evaluation of mental stress using physiological signals AR Subhani, L Xia, AS Malik 2011 National Postgraduate Conference, 1-4, 2011 | 10 | 2011 |
Using resting state coherence to distinguish between low and high stress groups AR Subhani, AS Malik, N Kamil, M Naufal, MNM Saad 2016 6th International Conference On Intelligent And Advanced Systems (ICIAS …, 2016 | 5 | 2016 |
Tracking of EEG activity using motion estimation to understand brain wiring H Nisar, AS Malik, R Ullah, SO Shim, A Bawakid, MB Khan, AR Subhani Signal and Image Analysis for Biomedical and Life Sciences, 159-174, 2015 | 5 | 2015 |
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain SNUH Safder, MU Akram, MN Dar, AA Khan, SG Khawaja, AR Subhani, ... Biomedical Signal Processing and Control 83, 104605, 2023 | 4 | 2023 |
Experimental evidence for the effects of the Demand-Control model on the cognitive arousal: An EEG based study AR Subhani, AS Malik, N Kamel, N Saad, D Nandagopal 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 4 | 2015 |
Association of electroencephalogram scalp potential with autonomic nervous system AR Subhani, L Xia, AS Malik Advanced Science Letters 19 (5), 1340-1344, 2013 | 4 | 2013 |
Discrete Wavelet Transform based EEG Feature Extraction and Classification for Mental Stress using Machine Learning Classifiers NK Kit, HU Amin, AR Subhani 2022 IEEE International Conference on Artificial Intelligence in Engineering …, 2022 | 3 | 2022 |
Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting MN Dar, MU Akram, AR Subhani, SG Khawaja, CC Reyes-Aldasoro, ... Scientific Reports 14 (1), 17080, 2024 | 1 | 2024 |