| 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 | 291 | 2008 |
| Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals F Ebrahimi, SK Setarehdan, J Ayala-Moyeda, H Nazeran Computer methods and programs in biomedicine 112 (1), 47-57, 2013 | 97 | 2013 |
| A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals Z Khademi, F Ebrahimi, HM Kordy Computers in biology and medicine 143, 105288, 2022 | 86 | 2022 |
| Wavelet-based EEG denoising for automatic sleep stage classification E Estrada, H Nazeran, G Sierra, F Ebrahimi, SK Setarehdan CONIELECOMP 2011, 21st International Conference on Electrical Communications …, 2011 | 69 | 2011 |
| A hierarchical structure based on stacking approach for skin lesion classification GS Ghalejoogh, HM Kordy, F Ebrahimi Expert Systems with Applications 145, 113127, 2020 | 50 | 2020 |
| A review of critical challenges in MI-BCI: From conventional to deep learning methods Z Khademi, F Ebrahimi, HM Kordy Journal of Neuroscience Methods 383, 109736, 2023 | 38 | 2023 |
| Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs F Ebrahimi, SK Setarehdan, H Nazeran Biomedical Signal Processing and Control 18, 69-79, 2015 | 38 | 2015 |
| 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 | 21 | 2007 |
| 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 |
| Automatic sleep staging by cardiorespiratory signals: a systematic review F Ebrahimi Sleep and Breathing, 2021 | 14 | 2021 |
| Symmetric Itakura distance as an EEG signal feature for sleep depth determination E Estrada, H Nazeran, F Ebrahimi, M Mikaeili Summer Bioengineering Conference 48913, 723-724, 2009 | 11 | 2009 |
| DFA-and DWT-based features of HRV signal for automatic sleep staging F Ebrahimi, SK Setarehdan, H Nazeran 2012 19th Iranian Conference of Biomedical Engineering (ICBME), 335-338, 2012 | 7 | 2012 |
| Generalizable epileptic seizures prediction based on deep transfer learning B Sarvi Zargar, MR Karami Mollaei, F Ebrahimi, J Rasekhi Cognitive Neurodynamics 17 (1), 119-131, 2023 | 6 | 2023 |
| Investigating medical students’ readiness for technology-mediated autonomous learning situations in ESP programs I Alizadeh, F Ebrahimi Education and Information Technologies 24 (6), 3289-3309, 2019 | 6 | 2019 |
| Comparative analysis of the discriminative capacity of EEG, two ECG-derived and respiratory signals in automatic sleep staging F Ebrahimi, SK Setarehdan, R Martinek, H Nazeran Advances in Electrical and Electronic Engineering 15 (3), 459-475, 2017 | 5 | 2017 |
| Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs H Nazeran-Esfahani, F Ebrahimi, S Kamaledin Biomedical Signal Processing and Control, 2014 | | 2014 |
| Assessment of time, frequency, and wavelet packet transform features extracted from EEG for sleep staging using self organizing maps (SOM) MM F. Ebrahimi Iranian Society for Biomedical Engineering (ISBME) 4 (2), 97-108, 2011 | | 2011 |
| Assessment of Time, Frequency, and Wavelet Packet Transform Features Extracted from EEG for Sleep Staging using Self Organizing Maps (SOM) F Ebrahimi, M Mikaili Iranian Journal of Biomedical Engineering 4 (2), 97-108, 2010 | | 2010 |
| Computer-Aided Sleep Staging From EٍٍEG Signals Using Wavelet Packet Coefficients And Neural Networks FEK Sari, M Mikaeili, E Estrada, H Nazeran BIOMEDICAL ENGINEERING Recent Developments 1 (1), 2008 | | 2008 |
| Wavelet-based EEG denoising for automatic sleep stage classification H Nazeran, F Ebrahimi, K Setarehdan | | |
Edson EstradaUniversidad Autónoma de Ciudad JuárezVerified email at uacj.mx
