| Estimating cognitive workload using wavelet entropy-based features during an arithmetic task P Zarjam, J Epps, F Chen, NH Lovell Computers in biology and medicine 43 (12), 2186-2195, 2013 | 139 | 2013 |
| Beyond subjective self-rating: EEG signal classification of cognitive workload P Zarjam, J Epps, NH Lovell IEEE Transactions on Autonomous Mental Development 7 (4), 301-310, 2015 | 120 | 2015 |
| Characterizing working memory load using EEG delta activity P Zarjam, J Epps, F Chen 2011 19th European signal processing conference, 1554-1558, 2011 | 86 | 2011 |
| Spectral EEG featuresfor evaluating cognitive load P Zarjam, J Epps, F Chen 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 81 | 2011 |
| Measuring cognitive workload with low-cost electroencephalograph A Knoll, Y Wang, F Chen, J Xu, N Ruiz, J Epps, P Zarjam Human-Computer Interaction–INTERACT 2011: 13th IFIP TC 13 International …, 2011 | 63 | 2011 |
| Detection of newborn EEG seizure using optimal features based on discrete wavelet transform P Zarjam, M Mesbah, B Boashash 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 47 | 2003 |
| Characterization of memory load in an arithmetic task using non-linear analysis of EEG signals P Zarjam, J Epps, NH Lovell, F Chen 2012 annual international conference of the IEEE engineering in medicine and …, 2012 | 46 | 2012 |
| Characterizing mental load in an arithmetic task using entropy-based features P Zarjam, J Epps, NH Lovell 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 29 | 2012 |
| Evaluation of working memory load using EEG signals P Zarjam, J Epps, F Chen Proc. APSIPA Annual Summit and Conference, 715-719, 2010 | 27 | 2010 |
| An optimal feature set for seizure detection systems for newborn EEG signals P Zarjam, M Mesbah, B Boashash Proceedings of the 2003 International Symposium on Circuits and Systems …, 2003 | 20 | 2003 |
| Classification of working memory load using wavelet complexity features of EEG signals P Zarjam, J Epps, F Chen, NH Lovell Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 13 | 2012 |
| Classification of normal/abnormal PCG recordings using a time–frequency approach H Hazeri, P Zarjam, G Azemi Analog Integrated Circuits and Signal Processing 109 (2), 459-465, 2021 | 9 | 2021 |
| Fetal ECG extraction from sparse representation of multichannel abdominal recordings P Tavoosi, F Haghi, P Zarjam, G Azemi Circuits, Systems, and Signal Processing, 1-18, 2022 | 8 | 2022 |
| Discrete wavelet transform based seizure detection in newborns EEG signals P Zarjam, M Mesbah Seventh International Symposium on Signal Processing and Its Applications …, 2003 | 8 | 2003 |
| Detection of newborns' EEG seizure using time-frequency divergence measures P Zarjam, G Azemi, M Mesbah, B Boashash 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 7 | 2004 |
| Time-frequency methodologies in neurosciences B Boashash, NJ Stevenson, LJ Rankine, G Azemi, E Sejdić, S Aviyente, ... Elsevier Inc., 2016 | 4 | 2016 |
| Newborns EEG seizure detection using tf distance measures P Zarjam, G Azemi, M Mesbah, B Boashash GESTS, International Trans. on Computer Science and Engineering 23, 163-171, 2005 | 3 | 2005 |
| Estimation of working memory load using EEG signal processing P Zarjam UNSW Sydney, 2013 | 2 | 2013 |
| Comparing two time-scale and time-frequency based methods in newborns' EEG seizure detection P Zarjam, M Mesbah, B Boashash 2007 IEEE International Conference on Signal Processing and Communications …, 2007 | 2 | 2007 |
| Neonates' EEG spike detection using a time-frequency approach P Zarjam, G Azemi, B Boashash 8th International Symposium on Signal Processing and its Applications, ISSPA …, 2005 | 1 | 2005 |
