Maryam Mohebbi
Maryam Mohebbi
Associate Professor of Biomedical Engineering, K.N.Toosi University of Technology
Verified email at eetd.kntu.ac.ir
Title
Cited by
Cited by
Year
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal
BM Asl, SK Setarehdan, M Mohebbi
Artificial intelligence in medicine 44 (1), 51-64, 2008
3212008
Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal
M Mohebbi, H Ghassemian
Computer methods and programs in biomedicine 105 (1), 40-49, 2012
1032012
ECG denoising using marginalized particle extended kalman filter with an automatic particle weighting strategy
HD Hesar, M Mohebbi
IEEE journal of biomedical and health informatics 21 (3), 635-644, 2016
592016
Detection of atrial fibrillation episodes using SVM
M Mohebbi, H Ghassemian
2008 30th annual international conference of the IEEE engineering in …, 2008
542008
Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the RR-interval signal
M Mohebbi, H Ghassemian
Physiological measurement 32 (8), 1147, 2011
482011
Obstructive sleep apnea detection using spectrum and bispectrum analysis of single-lead ECG signal
R Atri, M Mohebbi
Physiological measurement 36 (9), 1963, 2015
292015
An adaptive particle weighting strategy for ECG denoising using marginalized particle extended Kalman filter: An evaluation in arrhythmia contexts
HD Hesar, M Mohebbi
IEEE journal of biomedical and health informatics 21 (6), 1581-1592, 2017
282017
Structures of the recurrence plot of heart rate variability signal as a tool for predicting the onset of paroxysmal atrial fibrillation
M Mohebbi, H Ghassemian, BM Asl
Journal of medical signals and sensors 1 (2), 113, 2011
262011
Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability
M Mohebbi, H Ghassemian
Medical & biological engineering & computing 52 (5), 415-427, 2014
242014
Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal
F Hasanzadeh, M Mohebbi, R Rostami
Journal of affective disorders 256, 132-142, 2019
202019
A multi rate marginalized particle extended Kalman filter for P and T wave segmentation in ECG signals
HD Hesar, M Mohebbi
IEEE journal of biomedical and health informatics 23 (1), 112-122, 2018
152018
Graph theory analysis of directed functional brain networks in major depressive disorder based on EEG signal
F Hasanzadeh, M Mohebbi, R Rostami
Journal of neural engineering 17 (2), 026010, 2020
142020
Prediction of ventricular tachycardia using morphological features of ECG signal
A Riasi, M Mohebbi
2015 The International Symposium on Artificial Intelligence and Signal …, 2015
102015
An algorithm for automated detection of ischemic ECG beats using support vector machines
M Mohebbi, HA Moghadam
2007 IEEE 15th Signal Processing and Communications Applications, 1-4, 2007
92007
Wide complex tachycardia discrimination using dynamic time warping of ECG beats
FN Mazandarani, M Mohebbi
Computer methods and programs in biomedicine 164, 238-249, 2018
82018
A novel method for R-peak detection in noisy ECG signals using EEMD and ICA
A Safari, HD Hesar, M Mohebbi, F Faradji
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016
62016
Muscle artifact cancellation in ECG signal using a dynamical model and particle filter
HD Hesar, M Mohebbi
2015 22nd Iranian Conference on Biomedical Engineering (ICBME), 178-183, 2015
62015
Real-time ischemic beat classification using backpropagation neural network
M Mohebbi, HA Moghadam
2007 IEEE 15th Signal Processing and Communications Applications, 1-4, 2007
62007
An adaptive Kalman filter bank for ECG denoising
HD Hesar, M Mohebbi
IEEE journal of biomedical and health informatics, 2020
52020
Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task
K Raeisi, M Mohebbi, M Khazaei, M Seraji, A Yoonessi
Computers in biology and medicine 117, 103596, 2020
52020
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