Ali Motie Nasrabadi
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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, 66-73, 2016
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
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
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
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
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
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
Different classification techniques considering brain computer interface applications
S Rezaei, K Tavakolian, AM Nasrabadi, SK Setarehdan
Journal of neural engineering 3 (2), 139, 2006
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 (4), 135-149, 2018
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
Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses.
S Behbahani, NJ Dabanloo, AM Nasrabadi, CA Teixeira, A Dourado
Anatolian Journal of Cardiology/Anadolu Kardiyoloji Dergisi 13 (8), 2013
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
Epileptic seizure detection using empirical mode decomposition
AK Tafreshi, AM Nasrabadi, AH Omidvarnia
2008 IEEE International Symposium on Signal Processing and Information …, 2008
AM Nasrabadi, A Allahverdy, MehdiSamavati, MR Mohammadi, 2021
Cumulative effects of theta binaural beats on brain power and functional connectivity
TS Ala, MA Ahmadi-Pajouh, AM Nasrabadi
Biomedical Signal Processing and Control 42, 242-252, 2018
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
EEG classification of adolescents with type I and type II of bipolar disorder
A Khaleghi, A Sheikhani, MR Mohammadi, AM Nasrabadi, SR Vand, ...
Australasian physical & engineering sciences in medicine 38, 551-559, 2015
Emotion recognition using EEG phase space dynamics and Poincare intersections
MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi
Biomedical Signal Processing and Control 59, 101918, 2020
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
Emotion recognition through EEG phase space dynamics and Dempster-Shafer theory
MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi
Medical hypotheses 127, 34-45, 2019
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