| Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics M Azarnoosh, AM Nasrabadi, MR Mohammadi, M Firoozabadi Chaos, Solitons & Fractals 44 (12), 1054-1062, 2011 | 66 | 2011 |
| Diagnosis of mild Alzheimer's disease by EEG and ERP signals using linear and nonlinear classifiers EM Rad, M Azarnoosh, M Ghoshuni, MM Khalilzadeh Biomedical Signal Processing and Control 70, 103049, 2021 | 26 | 2021 |
| Fall detection system via smart phone and send people location SA Mousavi, E Tahami, M Azarnoosh 2020 28th European Signal Processing Conference (EUSIPCO), 1605-1607, 2021 | 13 | 2021 |
| Assessment of photoplethysmography method in extraction of hemoglobin concentration M Azarnoosh, H Doostdar Journal of biomedical physics & engineering 9 (6), 711, 2019 | 12 | 2019 |
| Evaluating nonlinear variability of mental fatigue behavioral indices during long‐term attentive task M Azarnoosh, AM Nasrabadi, MR Mohammadi, M Firoozabadi Complexity 17 (6), 7-16, 2012 | 9 | 2012 |
| Analysis of lossless compression techniques time-frequency-based in ECG signal compression H Hakkak, M Azarnoosh Asian Journal of Biomedical and Pharmaceutical Sciences 9 (66), 16-25, 2019 | 8 | 2019 |
| A cognitive and computational model of brain activity during emotional stress SA Hosseini, MA Khalilzadeh, M Homam, M Azarnoosh Advances in cognitive science 12 (2), 1-14, 2010 | 7 | 2010 |
| The measurement and processing of EEG signals to evaluate fatigue MRY Zoshk, M Azarnoosh 26th Southern Biomedical Engineering Conference SBEC 2010, April 30-May 2 …, 2010 | 7 | 2010 |
| Emotional stress detection using nonlinear and higher order spectra features in EEG signal SA Hosseini, MA Khalilzadeh, SM Homam, M Azarnoosh Journal of Electrical Eng 39 (2), 2010 | 7 | 2010 |
| Lie detector system based on PhotoPlethysmoGraph (PPG) and Galvanic Skin Response (GSR) signals by means of neural network MALI KHALILZADEH, R SARAFAN, M AZARNOOSH Signal and Data processing 9 (2), 49-60, 2013 | 6 | 2013 |
| Analyzing the impact of neuromarketing to promote brand image based on EEG signals H Hakkak, MMK Zade, M Azarnoosh J Biomed Imag Bioeng 3 (1), 95-105, 2019 | 5 | 2019 |
| Hand movement detection using empirical mode decomposition and higher order spectra SA Mousavi, SM Yasoubi, SE Tahami, M Azarnoush 2020 International Congress on Human-Computer Interaction, Optimization and …, 2020 | 4 | 2020 |
| Early assessment of mild Alzheimer’s disease using Elman neural network, LDA and SVM methods P Goli, EM Rad, K Ghandehari, M Azarnoosh Mach Learn Res 2 (4), 148-151, 2017 | 4 | 2017 |
| Evaluating variability of frequency features of EEG signals during mental fatigue M Azarnoosh, MR Mohammadi, AM Nasrabadi, SMP Firoozabadi 2010 17th Iranian conference of biomedical engineering (ICBME), 1-4, 2010 | 3 | 2010 |
| Using Visibility Graph to Analyze Brain Connectivity H Majdi, M Azarnoosh, M Ghoshuni, VR Sabzevari The Neuroscience Journal of Shefaye Khatam 10 (2), 57-67, 2022 | 1 | 2022 |
| Increasing the Accuracy of Blood Hematocrit Measurement by Triplicate Wavelength Photoplethysmography Method M Azarnoosh, H Doostdar Noghabi Jorjani Biomedicine Journal 6 (4), 19-28, 2018 | 1 | 2018 |
| Personality prediction via multi-task transformer architecture combined with image aesthetics S Salmani Bajestani, MM Khalilzadeh, M Azarnoosh, HR Kobravi Digital Scholarship in the Humanities, fqae034, 2024 | | 2024 |
| Combining Nonlinear Features of EEG and MRI to Diagnose Alzheimer’s Disease EM Rad, M Azarnoosh, M Ghoshuni, MM Khalilzadeh Annals of Data Science, 1-22, 2024 | | 2024 |
| TranSentGAT: A Sentiment-based Lexical Psycholinguistic Graph Attention Network for Personality Prediction SS Bajestani, MM Khalilzadeh, M Azarnoosh, HR Kobravi IEEE Access, 2024 | | 2024 |
| Direct lingam and visibility graphs for analyzing brain connectivity in BCI H Majdi, M Azarnoosh, M Ghoshuni, VR Sabzevari Medical & Biological Engineering & Computing, 1-16, 2024 | | 2024 |
