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K. N. Toosi University

Dr.Maryam Mohebbi
Assistant Professor
Biomedical Engineering Group

Publication

  • Journal papers

 [1]   H. danande Hesar, M. Mohebbi, “A Multi Rate Marginalized Particle Extended Kalman Filter for P and T Wave Segmentation in ECG Signals”, Accepted in publication in IEEE Journal of Biomedical and Health Informatics, DOI:   10.1109/JBHI.2018.2794362.

 [2]   F. Niknejad, M. Mohebbi, “Wide Complex Tachycardia Discrimination Using Dynamic Time Warping of ECG Beats”, Accepted in publication in Computer Methods and Programs in Biomedicine journal, DOI: 10.1016/j.cmpb.2018.04.009.

 [3]   H. danande Hesar, M. Mohebbi, “Performance Investigation of Marginalized Particle Extended Kalman Filter under Different Particle Weighting Strategies in the field of ECG Signal Denoising”, accepted for publication in Journal of Medical Signals & Sensors.

[4]     H. danandeh Hesarm, M. Mohebbi “Square Root Implementation of Marginalized Particle Extended Kalman filter with an Application in ECG Processing”, Iranian Journal of Biomedical Engineering, vol. 11, no. 4, pp. 301-310, 2017.
[5]   F. Kahroba, M. Mohebbi, H. danandeh Hesar, “Early Detection of Sudden Cardiac Death in Electrocardiogram Signals Using Extended Kalman Filter”, Iranian Journal of Biomedical Engineering, vol. 11, no. 2, pp. 161-170, 2017.

[6]   H. danande Hesar, M. Mohebbi, “An Adaptive Particle Weighting Strategy for ECG Denoising Using Marginalized Particle Extended Kalman Filter: an Evaluation in Arrhythmia Contexts”, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 16,pp. 1581-1592, Nov 2017.

[7]    H. danande Hesar, M. Mohebbi, “ECG Denoising Using Marginalized Particle Extended Kalman Filter with an Automatic Particle Weighting Strategy”, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 3,pp. 635-644, May 2017.

[8]     R. Atri, M. Mohebbi, “Obstructive Sleep Apnea Detection Using Spectrum and Bispectrum Analysis of Single-Lead ECG Signal,” Physiological Measurement, vol. 36, pp. 1963-80, August  2015.

[9]     A. Riasi, M. Mohebbi, “Prediction of Ventricular Fibrillation using Complexity analysis of T Wave from surface electrocardiogram,” Modares Journal of Electrical  Engineering , vol. 13, no.1, Spring 2013.

[10] M. Mohebbi, “A novel application of higher order statistics of R-R interval signal in EMD domain for predicting termination of atrial fibrillation,” Journal of Biological Systems, vol. 23, no. 1, pp. 115-130, March 2015.

 [11] M. Mohebbi and H. Ghassemian, “Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition atrial activity and statistical features of the heart rate variability,” Medical & Biological Engineering & Computing, vol. 52, no.5, pp. 415-27, May. 2014.

 [12] M. Mohebbi and H. Ghassemian, “Prediction of paroxysmal atrial fibrillation based on  nonlinear analysis and spectrum and bispectrum features of the heart rate variability signal,” Computer Methods and Programs in Biomedicine, vol. 105, pp. 40–49, 2012.

 [13] M. Mohebbi and H. Ghassemian, “Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the R-R interval signal,” Physiological Measurement, vol. 32, pp. 1147–1162, 2011.  

[14] M. Mohebbi and H. Ghassemian, “Structures of the recurrence plot of heart rate variability as a tool for predicting the onset of paroxysmal atrial fibrillation,” Journal of Medical Signals and Sensors, vol. 1, no.2, pp. 113-121, 2011.

 [15] B. Mohammadzadeh Asl, S.K. Setarehdan, and M. Mohebbi, “Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal,” Artificial Intelligence in Medicine, vol. 44, no.1, pp. 51-64, Sep. 2008. (130 citations until now)


  • Conference papers

[1]     F. Hasanzadeh, M. Mohebbi, R. Rostami, “Effect of functional connectivity measures on characteristics of EEG based brain networks in MDD patients ” Proc. 6th Basic and Clinical Neuroscience Congress, Tehran, Iran, Dec 2017.

[2]    F. Hasanzadeh, M. Mohebbi, R. Rostami “Investigation of Functional Brain Networks in MDD Patients Based on EEG Signals Processing,” Proc. 24th Iranian Conference on Biomedical Engineering (ICBME2017), Tehran, Iran, Nov. 2017 (in Persian).

[3]    A. Safari, H. danande Hesar, M. Mohebbi, and F. Faradji, “A Novel Method for R-peak Detection in Noisy ECG Signals Using EEMD and ICA,” Proc. 23th Iranian Conference on Biomedical Engineering (ICBME2016), Tehran, Iran, Nov. 2016.

[4]    H. danande Hesar , M. Mohebbi, “Muscle Artifact Cancellation in ECG Signal Using a Dynamical Model and Particle Filter,” Proc. 22th Iranian Conference on Biomedical Engineering (ICBME2015), Tehran, Iran, Nov. 2015 .

[5]     F. Niknejad , M. Mohebbi, “Ventricular tachycardia and supra-ventricular tachycardia with aberrancy discrimination using one-lead ECG signal processing   ”Proc. 22th Iranian Conference on Biomedical Engineering (ICBME2015), Tehran, Iran, Nov. 2015 (in Persian).

[6]    N. Yazdani, A. Rashidi, A.M. Sodagar, M. Mohebbi, “Reduction of Spatial Data Redundancy in Implantable Multi-Channel Neural Recording Microsystems,Proc. 10th Biomedical Circuits and Systems (BioCAS2014), Lausanne, Switzerland, Oct. 2014.

[7]     A. Riasi, M. Mohebbi, “Predicting Imminent Episodes of Ventricular Tachyarrhythmia using an Entropy-based Feature in the EMD Domain,” Proc. 23th Iranian Conference on Electrical Engineering (ICEE2015), Tehran, Iran, May. 2015.

[8]     A. Riasi, M. Mohebbi, “Prediction Of Ventricular Tachycardia Using Morphological Features of ECG Signal,” Proc. International Symposium on Artificial Intelligence and Signal Processing (AISP2015), Mashhad, Iran, March 2015.

[9]     R. Atri, M. Mohebbi, “ Screening of Obstructive Sleep Apnea Using Higher Order Statistics of HRV and EDR Signals,” Proc. 21th Iranian Conference on Biomedical Engineering (ICBME2014), Tehran, Iran, Nov. 2014.

[10] A. Riasi, M. Mohebbi, “Prediction of Ventricular Fibrillation Using Linear Correlation of Beat-to-Beat T wave and ST segment of ECG Signal,” Proc. 21th Iranian Conference on Biomedical Engineering (ICBME2014), Tehran, Iran, Nov. 2014(in Persian).

[11] R. Atri, M. Mohebbi, “ Automatic detection of obstructive sleep apnea using wavelet-based features of ECG signal”, Proc.6th Iranian conference on E-health and ICT application in medical science, May 2014(in Persian).

[12] M. Alizadeh Shalchy, M. Mohebbi, “ Fetal ECG extraction using dynamic Bayesian modeling of a single ECG lead”, Proc.2th Computer Science Conference on Computer and Information Technology (CSCCIT 2014), Tabriz, Iran, Nov. 2014(in Persian).

[13] M. Mohebbi, “Predicting termination of Paroxysmal atrial fibrillation using higher order statistics in EMD domain”, Proc.20th Iranian Conference on Biomedical Engineering (ICBME2013), Tehran, Iran, Dec. 2013.

[14] R. Moharramzade, M. Mohebbi, “A coding scheme for compression of EEG signals with desired quality compared with a lossless compression method”, Proc. 20th Iranian Conference on Biomedical Engineering (ICBME2013), Tehran, Iran, Dec. 2013 (in Persian).

[15] M. Mohebbi, H. Ghassemian, “Using noninvasive ECG for Predicting the onset of paroxysmal atrial fibrillation”, Systems, Control Engineering and Biological Science Symposium, Tehran, Iran, Dec. 2012.

[16] M. Mohebbi, H. Ghassemian, “ Predicting termination of paroxysmal atrial fibrillation using ECG signal features”, Proc. 19th Iranian Conference on Electrical  Engineering (ICEE2011), Tehran, Iran, May. 2011(in Persian).

[17] M. Mohebbi, H. Ghassemian, “ Study the Changes of recurrence plot of the HRV signal before the onset of paroxysmal atrial fibrillation”, 17th Iranian Conference on Biomedical Engineering (ICBME2010), Isphahan, Iran, Nov. 2010 (in Persian).

[18] M. Mohebbi, H. Ghassemian, “ Predicting the onset of paroxysmal atrial fibrillation using recurrence plot  features of  the HRV signal”, 17th Iranian Conference on Biomedical Engineering (ICBME2010), Isphahan, Iran, Nov. 2010 (in Persian).

[19] M. Mohebbi, H. Ghassemian, “ Extraction the higher order spectrum of HRV signal for predicting the onset of paroxysmal atrial fibrillation”, 16th Iranian Conference on Biomedical Engineering (ICBME2009), Tehran, Iran, Dec. 2009 (in Persian).

[20] M. Mohebbi, H. Ghassemian, “Detection of atrial and ventricular fibrillation using linear and nonlinear features of HRV signal and Kalman filter”, Proc. 15th Iranian Conference on Biomedical Engineering (ICBME2009), Mashad, Iran, Feb. 2009 (in Persian).

[21] M. Mohebbi, H. Abrishami Moghaddam, B. Mohammadzadeh, “Extraction of Ischemic episodes in ECG signal using a knowledge-based algorithm”, Proc. 15th Iranian Conference on Biomedical Engineering (ICBME2009), Mashad, Iran, Feb. 2009 (in Persian).

[22] M. Mohebbi, H. Abrishami Moghaddam, B. Mohammadzadeh Asl, “Automated detection of ischemic ECG beats using nonlinear classifiers”, Proc. 14th Iranian Conference on Biomedical Engineering (ICBME2008), Tehran, Iran, Feb. 2008 (in Persian).

[23] M. Mohebbi, Hassan Ghassemian, “Detection of Atrial Fibrillation Episodes Using Support Vector Machines”, Proc.30th Annual International IEEE EMBS Conference, Canada, Aug.  2008.

[24] B. Mohammadzadeh Asl, S.K. Setarehdan, and M. Mohebbi, “Beat to beat classification of cardiac arrhythmia using a knowledge-based method”, Proc. 13th Iranian Conference on Biomedical Engineering, Tehran, Iran, Feb. 2007 (in Persian).

[25]  M. Mohebbi, H. Abrishami Moghaddam, “An Algorithm for Automated Detection of Ischemic ECG Beats Using Support Vector Machines”, Proc. IEEE 15th Signal Processing and Communication Applications Conference (SİU2007), Turkey, June 2007.

[26] M. Mohebbi, H. Abrishami Moghaddam, M. Teshnehlab, “An Automated System for on-line Monitoring and Detection of ST Changes in ECG Signal”, Proc. IEEE 15th Signal Processing and Communication Applications Conference (SİU2007), Turkey, June 2007.

[27]  M. Mohebbi, H. Abrishami Moghaddam, “Real-time Ischemic Beat Classification Using Beackpropagation Neural Network”, Proc. IEEE 15th Signal Processing and Communication Applications Conference (SİU2007), Turkey, June 2007.