Ali Motie Nasrabadi
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Detecting driver mental fatigue based on EEG alpha power changes during simulated driving
F Gharagozlou, GN Saraji, A Mazloumi, A Nahvi, AM Nasrabadi, ...
Iranian journal of public health 44 (12), 1693, 2015
EEG classification of ADHD and normal children using non-linear features and neural network
MR Mohammadi, A Khaleghi, AM Nasrabadi, S Rafieivand, M Begol, ...
Biomedical Engineering Letters 6 (2), 66-73, 2016
Determining fault's type and accurate location in distribution systems with DG using MLP Neural networks
SAM Javadian, AM Nasrabadi, MR Haghifam, J Rezvantalab
2009 International Conference on Clean Electrical Power, 284-289, 2009
Different classification techniques considering brain computer interface applications
S Rezaei, K Tavakolian, AM Nasrabadi, SK Setarehdan
Journal of neural engineering 3 (2), 139, 2006
EEG-based mental task classification: Linear and nonlinear classification of movement imagery
A Akrami, S Solhjoo, A Motie-Nasrabadi, MR Hashemi-Golpayegani
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 4626-4629, 2006
Classification of chaotic signals using HMM classifiers: EEG-based mental task classification
S Solhjoo, AM Nasrabadi, MRH Golpayegani
2005 13th European Signal Processing Conference, 1-4, 2005
The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
S Hatamikia, K Maghooli, A Motie Nasrabadi
Journal of Medical Signals and Sensors 4 (3), 194-201, 2014
Epileptic seizure detection using empirical mode decomposition
AK Tafreshi, AM Nasrabadi, AH Omidvarnia
2008 IEEE International Symposium on Signal Processing and Information …, 2008
Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics
M Azarnoosh, A Motie Nasrabadi, MR Mohammadi, M Firoozabadi
Chaos, Solitons & Fractals 44 (12), 1054-1062, 2011
Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses
A Motie-Nasrabadi, S Behbahani, NJ Dabanloo, CA Teixeira, A Dourado
Anadolu Kardiyoloji Dergisi-The anatolian journal of cardiology, 2013
Controlling blood glucose levels in diabetics by neural network predictor
G Baghdadi, AM Nasrabadi
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
A review on EEG signals based emotion recognition
MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi
International Clinical Neuroscience Journal 4 (4), 118-129, 2018
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
Implementing of SPIHT and sub-band energy compression (SEC) method on two-dimensional ECG compression: a novel approach
IM Rezazadeh, MH Moradi, AM Nasrabadi
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 3763-3766, 2006
Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient
M Karimi Moridani, SK Setarehdan, A Motie Nasrabadi, E Hajinasrollah
Journal of medical engineering & technology 40 (3), 87-98, 2016
Emotion classification through nonlinear EEG analysis using machine learning methods
M Zangeneh Soroush, K Maghooli, SK Setarehdan, A Motie Nasrabadi
Int. Clin. Neurosci. J 5, 135-149, 2018
Application of novel mapping for heart rate phase space and its role in cardiac arrhythmia diagnosis
NJ Dabanloo, S Moharreri, S Parvaneh, AM Nasrabadi
2010 Computing in Cardiology, 209-212, 2010
EEG-based mental task classification in hypnotized and normal subjects
S Solhjoo, AM Nasrabadi, MRH Golpayegani
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2041-2043, 2006
Selecting better EEG channels for classification of mental tasks
K Tavakolian, AM Nasrabadi, S Rezaei
2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No …, 2004
Recognition of emotional states induced by music videos based on nonlinear feature extraction and som classification
S Hatamikia, AM Nasrabadi
2014 21th Iranian Conference on Biomedical Engineering (ICBME), 333-337, 2014
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