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Maryam Mohebbi
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2020 – today
- 2024
- [j13]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients. Biomed. Signal Process. Control. 96: 106613 (2024) - 2023
- [j12]Mona Zaree, Maryam Mohebbi, Reza Rostami:
An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task. Biomed. Signal Process. Control. 86(Part B): 105224 (2023) - 2022
- [j11]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
A Nonlinear Effective Connectivity Measure Based on Granger Causality and Volterra Series. IEEE J. Biomed. Health Informatics 26(5): 2299-2307 (2022) - 2021
- [j10]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
Single Channel EEG Classification: A Case Study on Prediction of Major Depressive Disorder Treatment Outcome. IEEE Access 9: 3417-3427 (2021) - [j9]Hamed Danandeh Hesar, Maryam Mohebbi:
An Adaptive Kalman Filter Bank for ECG Denoising. IEEE J. Biomed. Health Informatics 25(1): 13-21 (2021) - 2020
- [j8]Khadijeh Raeisi, Maryam Mohebbi, Mohammad Khazaei, Masoud Seraji, Ali Yoonessi:
Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task. Comput. Biol. Medicine 117: 103596 (2020)
2010 – 2019
- 2019
- [j7]Hamed Danandeh Hesar, Maryam Mohebbi:
A Multi Rate Marginalized Particle Extended Kalman Filter for P and T Wave Segmentation in ECG Signals. IEEE J. Biomed. Health Informatics 23(1): 112-122 (2019) - 2018
- [j6]F. Niknejad Mazandarani, Maryam Mohebbi:
Wide complex tachycardia discrimination using dynamic time warping of ECG beats. Comput. Methods Programs Biomed. 164: 238-249 (2018) - 2017
- [j5]Hamed Danandeh Hesar, Maryam Mohebbi:
ECG Denoising Using Marginalized Particle Extended Kalman Filter With an Automatic Particle Weighting Strategy. IEEE J. Biomed. Health Informatics 21(3): 635-644 (2017) - [j4]Hamed Danandeh Hesar, Maryam Mohebbi:
An Adaptive Particle Weighting Strategy for ECG Denoising Using Marginalized Particle Extended Kalman Filter: An Evaluation in Arrhythmia Contexts. IEEE J. Biomed. Health Informatics 21(6): 1581-1592 (2017) - 2014
- [j3]Maryam Mohebbi, Hassan Ghassemian:
Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability. Medical Biol. Eng. Comput. 52(5): 415-427 (2014) - [c1]Niloofar Yazdani, Amin Rashidi, Amir M. Sodagar, Maryam Mohebbi:
Reduction of spatial data redundancy in implantable multi-channel neural recording microsystems. BioCAS 2014: 208-211 - 2012
- [j2]Maryam Mohebbi, Hassan Ghassemian:
Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal. Comput. Methods Programs Biomed. 105(1): 40-49 (2012)
2000 – 2009
- 2008
- [j1]Babak Mohammadzadeh Asl, Seyed Kamaledin Setarehdan, Maryam Mohebbi:
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif. Intell. Medicine 44(1): 51-64 (2008)
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