| Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients F Ebrahimi, M Mikaeili, E Estrada, H Nazeran 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 292 | 2008 |
| EEG-based drowsiness detection for safe driving using chaotic features and statistical tests Z Mardi, SNM Ashtiani, M Mikaili Journal of Medical Signals & Sensors 1 (2), 130-137, 2011 | 211 | 2011 |
| A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal S Seifpour, H Niknazar, M Mikaeili, AM Nasrabadi Expert Systems with Applications 104, 277-293, 2018 | 108 | 2018 |
| Identification of voice disorders using long-time features and support vector machine with different feature reduction methods MK Arjmandi, M Pooyan, M Mikaili, M Vali, A Moqarehzadeh Journal of Voice 25 (6), e275-e289, 2011 | 92 | 2011 |
| Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smear A Bijar, M Mikaeili, R Khayati Journal of Biomedical Science and Engineering 5 (2012), 2012 | 54 | 2012 |
| Introduction and application of an automatic gait recognition method to diagnose movement disorders that arose of similar causes M Banaie, M Pooyan, M Mikaili Expert Systems with Applications 38 (6), 7359-7363, 2011 | 39 | 2011 |
| Assessment of recurrence quantification analysis (RQA) of EEG for development of a novel drowsiness detection system H Shabani, M Mikaili, SMR Noori Biomedical Engineering Letters 6, 196-204, 2016 | 38 | 2016 |
| Driving drowsiness detection using fusion of electroencephalography, electrooculography, and driving quality signals SMR Noori, M Mikaeili Journal of Medical Signals & Sensors 6 (1), 39-46, 2016 | 35 | 2016 |
| Network physiology of ‘fight or flight’response in facial superficial blood vessels A Derakhshan, M Mikaeili, AM Nasrabadi, T Gedeon Physiological measurement 40 (1), 014002, 2019 | 29 | 2019 |
| K-complex identification in sleep EEG using MELM-GRBF classifier SMR Noori, A Hekmatmanesh, M Mikaeili, K Sadeghniiat-Haghighi 2014 21th Iranian conference on biomedical engineering (ICBME), 119-123, 2014 | 25 | 2014 |
| Toward a computer aided diagnosis system for lumbar disc herniation disease based on MR images analysis M Nikravan, E Ebrahimzadeh, MR Izadi, M Mikaeili Biomedical Engineering: Applications, Basis and Communications 28 (06), 1650042, 2016 | 24 | 2016 |
| A novel method to detect the A phases of cyclic alternating pattern (CAP) using similarity index H Niknazar, S Seifpour, M Mikaili, AM Nasrabadi, AK Banaraki 2015 23rd Iranian Conference on Electrical Engineering, 67-71, 2015 | 24 | 2015 |
| Sleep spindle detection and prediction using a mixture of time series and chaotic features A Hekmatmanesh, M Mikaeili, K Sadeghniiat-Haghighi, H Wu, ... Advances in Electrical and Electronic Engineering 15 (3), 435-447, 2017 | 23 | 2017 |
| Introducing a combined approach of empirical mode decomposition and PCA methods for maternal and fetal ECG signal processing P Ghobadi Azbari, S Mohaqeqi, N Ghanbarzadeh Gashti, M Mikaili The Journal of Maternal-Fetal & Neonatal Medicine 29 (19), 3104-3109, 2016 | 22 | 2016 |
| Assessment of human random number generation for biometric verification E Jokar, M Mikaili Journal of Medical Signals & Sensors 2 (2), 82-87, 2012 | 22 | 2012 |
| Assessment of itakura distance as a valuable feature for computer-aided classification of sleep stages F Ebrahimi, M Mikaili, E Estrada, H Nazeran 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 22 | 2007 |
| Design and implementation of precise hardware for electrical impedance tomography (eit)* M Khalighi, BV Vahdat, M Mortazavi, M Mikaeili Iran J Sci Technol Trans Electr Eng 38, 1, 2014 | 21 | 2014 |
| Sleep spindle detection using modified extreme learning machine generalized radial basis function method A Hekmatmanesh, SMR Noori, M Mikaili 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 1898-1902, 2014 | 21 | 2014 |
| Discriminative common spatial pattern sub-bands weighting based on distinction sensitive learning vector quantization method in motor imagery based brain-computer interface F Jamaloo, M Mikaeili Journal of Medical Signals & Sensors 5 (3), 156-161, 2015 | 20 | 2015 |
| EEG signal features for computer-aided sleep stage detection E Estrada, H Nazeran, F Ebrahimi, M Mikaeili 2009 4th International IEEE/EMBS Conference on Neural Engineering, 669-672, 2009 | 19 | 2009 |
Homer NazeranProfessor of Electrical and Computer Engineering, University of Texas at El Paso在 utep.edu 的电子邮件经过验证
