Maryam Mohebbi
Orcid: 0000-0003-2326-6074
According to our database1,
Maryam Mohebbi
authored at least 15 papers
between 2008 and 2024.
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Bibliography
2024
Blood Pressure Estimation Based on the Timing of the Arterial Reflected Waves by Oscillometric Pulse Wave Decomposition.
IEEE J. Biomed. Health Informatics, November, 2024
Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients.
Biomed. Signal Process. Control., 2024
2023
An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task.
Biomed. Signal Process. Control., September, 2023
2022
A Nonlinear Effective Connectivity Measure Based on Granger Causality and Volterra Series.
IEEE J. Biomed. Health Informatics, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Single Channel EEG Classification: A Case Study on Prediction of Major Depressive Disorder Treatment Outcome.
IEEE Access, 2021
2020
Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task.
Comput. Biol. Medicine, 2020
2019
A Multi Rate Marginalized Particle Extended Kalman Filter for P and T Wave Segmentation in ECG Signals.
IEEE J. Biomed. Health Informatics, 2019
2018
Comput. Methods Programs Biomed., 2018
2017
An Adaptive Particle Weighting Strategy for ECG Denoising Using Marginalized Particle Extended Kalman Filter: An Evaluation in Arrhythmia Contexts.
IEEE J. Biomed. Health Informatics, 2017
ECG Denoising Using Marginalized Particle Extended Kalman Filter With an Automatic Particle Weighting Strategy.
IEEE J. Biomed. Health Informatics, 2017
2014
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., 2014
Reduction of spatial data redundancy in implantable multi-channel neural recording microsystems.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2012
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., 2012
2008
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
Artif. Intell. Medicine, 2008