Maryam Mohebbi

According to our database, Maryam Mohebbi authored at least 13 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task.

Mona Zaree, Maryam Mohebbi, Reza Rostami

Biomed. Signal Process. Control., September, 2023

2022

A Nonlinear Effective Connectivity Measure Based on Granger Causality and Volterra Series.

Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami

IEEE J. Biomed. Health Informatics, 2022

2021

An Adaptive Kalman Filter Bank for ECG Denoising.

Hamed Danandeh Hesar, Maryam Mohebbi

IEEE J. Biomed. Health Informatics, 2021

Single Channel EEG Classification: A Case Study on Prediction of Major Depressive Disorder Treatment Outcome.

Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami

IEEE Access, 2021

2020

Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task.

Khadijeh Raeisi, Maryam Mohebbi, Mohammad Khazaei, Masoud Seraji, Ali Yoonessi

Comput. Biol. Medicine, 2020

2019

A Multi Rate Marginalized Particle Extended Kalman Filter for P and T Wave Segmentation in ECG Signals.

Hamed Danandeh Hesar, Maryam Mohebbi

IEEE J. Biomed. Health Informatics, 2019

2018

Wide complex tachycardia discrimination using dynamic time warping of ECG beats.

F. Niknejad Mazandarani, Maryam Mohebbi

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.

Hamed Danandeh Hesar, Maryam Mohebbi

IEEE J. Biomed. Health Informatics, 2017

ECG Denoising Using Marginalized Particle Extended Kalman Filter With an Automatic Particle Weighting Strategy.

Hamed Danandeh Hesar, Maryam Mohebbi

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.

Maryam Mohebbi, Hassan Ghassemian

Medical Biol. Eng. Comput., 2014

Reduction of spatial data redundancy in implantable multi-channel neural recording microsystems.

Niloofar Yazdani, Amin Rashidi, Amir M. Sodagar, Maryam Mohebbi

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.

Maryam Mohebbi, Hassan Ghassemian

Comput. Methods Programs Biomed., 2012

2008

Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.

Babak Mohammadzadeh Asl, Seyed Kamaledin Setarehdan, Maryam Mohebbi

Artif. Intell. Medicine, 2008