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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
2392016
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
1582015
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
1152018
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
1072009
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
105*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
832014
Emotion classification through nonlinear EEG analysis using machine learning methods
M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ...
International Clinical Neuroscience Journal 5 (4), 135-149, 2018
732018
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
732013
Different classification techniques considering brain computer interface applications
S Rezaei, K Tavakolian, AM Nasrabadi, SK Setarehdan
Journal of neural engineering 3 (2), 139, 2006
692006
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
692006
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
682005
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
672015
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
662011
EEG DATA FOR ADHD / CONTROL CHILDREN
AM Nasrabadi, A Allahverdy, MehdiSamavati, MR Mohammadi
https://ieee-dataport.org/open-access/eeg-data-adhd-control-children, 2021
622021
Epileptic seizure detection using empirical mode decomposition
AK Tafreshi, AM Nasrabadi, AH Omidvarnia
2008 IEEE International Symposium on Signal Processing and Information …, 2008
612008
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
592018
Computational neuroscience approach to psychiatry: A review on theory-driven approaches
A Khaleghi, MR Mohammadi, K Shahi, AM Nasrabadi
Clinical Psychopharmacology and Neuroscience 20 (1), 26, 2022
572022
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
532020
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
502016
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
472007
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