Maryam Mohebbi

Orcid: 0000-0003-2326-6074

According to our database1, Maryam Mohebbi authored at least 14 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

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
An Adaptive Kalman Filter Bank for ECG Denoising.
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
Wide complex tachycardia discrimination using dynamic time warping of ECG beats.
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


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