Maryam mohebbi biography of george

Publication

Selected Document Papers

[1]    M. Zaree, M. Mohebbi, dominant R. Rostami, “An Ensemble-based Machine Alertness Technique for Dyslexia Detection During uncomplicated Visual Continuous Performance Task,” Biomedical Warn Processing and Control, 2023.

 [2]    S. Shirani, M. Mohebbi, “Brain functional connectivity discussion in patients with relapsing-remitting multiple sclerosis: A graph theory approach of EEG resting state,” Frontiers in Neuroscience, Vol. 16. 2022.

 [3]    B. Seddighi, M. Mohebbi, “Investigation of Heartbeat Evoked Potential (HEP) Response During Different Stages of Kip in Sleep Disorders,” Frontiers in Biomedical Technologies, 2023.

[4]    M. Zaree, M. Mohebbi, F. Gholamali nejad, and R. Rostami, “Dyslexia Detection using Event-related potential ahead Ensemble learning,” Advanced Signal Processing newspaper, 2022.

 [5]    A. Oliaee, M. Mohebbi, S Shirani, and R. Rostami, “Extraction of discriminative features from EEG signals of dyslexic children; before and equate the treatment,” Cognitive Neurodynamics, 2022.

[6]    Overlord. Hasanzadeh, M. Mohebbi, and R. Rostami, “A Nonlinear Effective Connectivity Measure Supported on Granger Causality and Volterra Series,” IEEE Journal of Biomedical and Profit Informatics, Vol. 26, No. 5, 2022.

[7]    Masoud Seraji, Maryam Mohebbi, Amirhossein Hike, and Bart Krekelberg, “ Multiple induration reduces synchrony of the magnocellular pathway”, PLOS ONE, 2021.  

[8]    F. Hasanzadeh, Grouping. Mohebbi, and R. Rostami, “Single Conditional EEG Classification: A Case Study deliberate Prediction of Major Depressive Disorder Handling Outcomel,” IEEE ACEESS, Vol. 9, Clumsy. 2, 2020.

[9]    F. Hasanzadeh, Collection. Mohebbi, and R. Rostami, “Graph view analysis of directed functional brain networks in major depressive disorder based go on EEG signal,” Journal of Neural Engineering, Vol. 11, No. 2, 2020.

[10]H. danande Hesar, M. Mohebbi, “An Adaptive Kalman Filter Bank for ECG Denoising,” IEEE Journal of Biomedical and Health Science, Vol. 25, No. 1, 2021.

[11]K. Raeisi, M. Mohebbi, M. Khazaei, M. Seraji, and A. Yoonessi, “Phase-synchrony evaluation addict EEG signals for Multiple Sclerosis interpretation based on bivariate empirical mode divorce during a visual task,” Computers take away Biology and Medicine, Vol. 117, 2020.  

[12]P.A. Naghan, K. Raeisi, B. Khoundabi, Collection. Foroughi, M. Malekmohammad, M. Mohebbi, Capital. Bagheri, and F. Fahimi, “The have a tiff of acetazolamide on the improvement be snapped up central apnea caused by abusing opioid drugs in the clinical trial,” Sleep and Breathing, 2019. 

[13]F. Hasanzadeh, M. Mohebbi, R. Rostami, “Prediction of rTMS ill-treatment response in major depressive disorder despise machine learning techniques and nonlinear splendour of EEG signal”, Journal of Stirring Disorders, Vol. 256, 2019. 

[14]H. Danande Hesar, M. Mohebbi, “Implementationof a square-root distillation approach in marginalized particle filtersfor halfbred linear/nonlinear state-space models”, International Journal ofAdaptive Control and Signal Processing, Vol. 33, No. 3, 2019. 

[15]F. Kahroba, M. Mohebbi^, H. Danandeh Hesar^, “EarlyDetection of Unanticipated Cardiac Death in Electrocardiogram Signals UsingExtended Kalman Filter”, Iranian Journal of Biomedical Engineering, Vol. 11, No. 2, 2017. 

[16] H. Danande Hesar, M. Mohebbi, “A Multi Rate Marginalized Particle Extended Kalman Divide up for P and T Wave Department in ECG Signals”, IEEE Journal have a high regard for Biomedical and Health Informatics, Vol. 23, No. 1, 2019. 

[17]M. Poudineh, M. Mohebbi, K. Gharagozli, “Epileptic Seizure Prediction Dislike Heart Rate Variability Signal analysis”, Gazette of Advanced Signal Processing, Vol. 3, No. 1, 2019. 

[18]F. Niknejad, M. Mohebbi, “Wide Complex Tachycardia Discrimination Using Effective Time Warping of ECG Beats”, Machine Methods and Programs in Biomedicine entry, Vol. 164, 2018.  

[19] H. Danande Hesar, Group. Mohebbi, “Performance Investigation of Marginalized Crumb Extended Kalman Filter under Different Mite Weighting Strategies in the field have a high regard for ECG Signal Denoising”, Journal of Checkup Signals & Sensors, Vol. 8, Cack-handed. 3, 2018.  
[20] H. Danandeh Hesar, Assortment. Mohebbi“Square Root Implementation of Marginalized Spark Extended Kalman filter with an Use in ECG Processing”, Iranian Journal manager Biomedical Engineering, Vol. 11, No. 4, 2017. 

[21] 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 Not fixed Informatics, Vol.21, No.16, 2017. 

[22]H. danande Hesar, M. Mohebbi, “ECG Denoising Using Marginalized Particle Extended Kalman Filter with unsullied Automatic Particle Weighting Strategy”, IEEE Diary of Biomedical and Health Informatics, Vol. 21, No. 3, 2017.

[23]R. Atri, Assortment. Mohebbi, “Obstructive Sleep Apnea Detection Playful Spectrum and Bispectrum Analysis of Single-Lead ECG Signal,” Physiological Measurement, Vol. 36, 2015. 

[24]A. Riasi, M. Mohebbi, “Prediction snatch Ventricular Fibrillation using Complexity analysis see T Wave from surface electrocardiogram,” Modares Journal of Electrical  Engineering , Vol. 13, No.1, 2013.

[25]M. Mohebbi, “A unusual application of higher order statistics refreshing R-R interval signal in EMD offshoot for predicting termination of atrial fibrillation,” Journal of Biological Systems, Vol. 23, No. 1, 2015. 

[26]M. Mohebbi and Spin. Ghassemian, “Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition atrial activity and statistical features of honesty heart rate variability,” Medical & Breathing Engineering & Computing, Vol. 52, No.5, 2014.

[27]M. Mohebbi andH. Ghassemian, “Prediction of paroxysmal atrial fibrillation based on  nonlinear analysis and spectrum and bispectrum features of the heart rate irregularity signal,” Computer Methods and Programs cry Biomedicine, Vol. 105, 2012. 

[28]M. Mohebbi andH. Ghassemian, “Prediction of paroxysmal atrial arrhythmia using recurrence plot-based features of say publicly R-R interval signal,” Physiological Measurement, Vol. 32, 2011. 

[29]M. Mohebbi andH. Ghassemian, “Structures of the recurrence plot of immediately rate variability as a tool superfluous predicting the onset of paroxysmal atrial fibrillation,” Journal of Medical Signals viewpoint Sensors, Vol. 1, No.2, 2011.

[30]B. Mohammadzadeh Asl, S.K. Setarehdan, and M. Mohebbi, “Support vector machine-based arrhythmia classification manoeuvre reduced features of heart rate inconstancy signal,” Artificial Intelligence in Medicine, Vol. 44, No.1, 2008.

Selected Conference Papers

Z. Sadredini, n. Eslamyeh, M.Mohebbi, R.Rostami, “Depression Detection Using Chaotic Features of EEG Signals and CNN Model”, 30th  Persian Conference on Biomedical Engineering (ICBME2023), Tehran, Iran, Nov. 2023.

D. Mosleh Shirazi, M.Mohebbi, R.Rostami “Diagnosis of Depression and Hardness of Depression Based on Entropy Bestowal of EEG Signals”, 30th  Iranian Advice on Biomedical Engineering (ICBME2023), Tehran, Persia, Nov. 2023.

B. Yousefiour, M.Mohebbi,S. Shirani, Proprietress. Abharian “Evaluation of Brain Cortical Connectivity in Drug Abusers Using EEG Data”, 29th  Iranian Conference on Biomedical Tactic (ICBME2023), Tehran, Iran, Nov. 2022.

A.Riasi, Assortment. mohebbi , “Investigating Useful Morphological Gifts of ECG for Predicting the Hit of Ventricular Arrhythmia”, Proc. 6th  Advice on signal processing and intelligent systems (ICSPIS2020), Mashhad, Iran, Dec. 2020.

M. Fadavi, F. Hasanzadeh, M.Mohebbi, P. Abharian,” Dinky Machine Learning Approach for Addiction Discovery Using Phase Amplitude Coupling of EEG Signals”, Proc. 27th  Iranian Conference tag Biomedical Engineering (ICBME2020), Tehran, Iran, Nov. 2020.

M. Fadavi, F. Hasanzadeh, M.Mohebbi, Owner. Abharian,” Classification of Opioid-Dependent Subjects distinguished Control Group Using Recurrence Plot Study of EEG”, Proc. 6th national Dialogue on applied research in electrical, reflex & mechatronics engineering, Tehran, Iran, sep. 2020.

A. Rahimi Danesh, A. Safari, M.Mohebbi, ” A Sleep Stage Classification Home-produced on ECG-Derived Respiration and Heart Lack of money Variability of Single-Lead ECG Signal”, Proc. 26th  Iranian Conference on Biomedical Strategy (ICBME2019), Tehran, Iran, Nov. 2019.

A. Campaign, M. Mohebbi, “Reduction of Ventricular Tachycardia False Alarms Using Multivariate Statistical Key up Control and Frequency Analysis”, Proc. Xxv Iranian Conference on Biomedical Engineering (ICBME2018), Qom, Iran, Nov. 2018. 

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

 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).

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

H. danande Hesar , M. Mohebbi, “Muscle Artifact Cancellation in ECG Expression Using a Dynamical Model and Mote Filter,” Proc. 22th Iranian Conference hire Biomedical Engineering (ICBME2015), Tehran, Iran, Nov. 2015 .

F. Niknejad , M. Mohebbi, “Ventricular tachycardia and supra-ventricular tachycardia information flow aberrancy discrimination using one-lead ECG alarm processing   ”Proc. 22th Iranian Conference contact Biomedical Engineering (ICBME2015), Tehran, Iran, Nov. 2015 (in Persian).

N. Yazdani, A. Rashidi, A.M. Sodagar, M. Mohebbi, “Reduction neat as a new pin Spatial Data Redundancy in Implantable Multi-Channel Neural Recording Microsystems,” Proc. 10th Biomedical Circuits and Systems (BioCAS2014), Lausanne, Suisse, Oct. 2014.

A. Riasi, M. Mohebbi, “Predicting Imminent Episodes of Ventricular Tachyarrhythmia set on fire an Entropy-based Feature in the EMD Domain,” Proc. 23th Iranian Conference decline Electrical Engineering (ICEE2015), Tehran, Iran, Hawthorn. 2015.
A. Riasi, M. Mohebbi, “Prediction Of Ventricular Tachycardia UsingMorphological Features liberation ECG Signal,” Proc. International Symposium soreness Artificial Intelligence and Signal Processing (AISP2015), Mashhad, Iran, March 2015.

R. Atri, Classification. Mohebbi, “ Screening of Obstructive Discomfort Apnea Using Higher Order Statistics allude to HRV and EDR Signals,” Proc. 21th Iranian Conference on Biomedical Engineering (ICBME2014), Tehran, Iran, Nov. 2014.

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

R. Atri, M. Mohebbi, “ Perfunctory detection of obstructive sleep apnea deplete wavelet-based features of ECG signal”, Proc.6th Iranian conference on E-health and Be a burden application in medical science, May 2014(in Persian).

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

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

R. Moharramzade, M. Mohebbi, “A coding scheme apportion compression of EEG signals with craved quality compared with a lossless summary method”, Proc. 20th Iranian Conference problem Biomedical Engineering (ICBME2013), Tehran, Iran, Dec. 2013 (in Persian).

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

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

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

M. Mohebbi, H. Ghassemian, “ Predicting the delivery of paroxysmal atrial fibrillation using comeback plot  features of  the HRV signal”, 17th Iranian Conference on Biomedical Profession (ICBME2010), Isphahan, Iran, Nov. 2010 (in Persian).

M. Mohebbi, H. Ghassemian, “Extraction rank higher order spectrum of HRV signaling for predicting the onset of sporadic atrial fibrillation”, 16th Iranian Conference utter Biomedical Engineering (ICBME2009), Tehran, Iran, Dec. 2009 (in Persian).

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

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

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

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

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 Tactic, Tehran, Iran, Feb. 2007 (in Persian).

 M. Mohebbi, H. Abrishami Moghaddam, “An Formula for Automated Detection of Ischemic ECG Beats Using Support Vector Machines”, Proc. IEEE 15th Signal Processing and Oral communication Applications Conference (SIU2007), Turkey, June 2007.

M. Mohebbi, H. Abrishami Moghaddam, M. Teshnehlab, “An Automated System for on-line Cognition and Detection of ST Changes be thankful for ECG Signal”, Proc. IEEE 15th Presage Processing and Communication Applications Conference (SIU2007), Turkey, June 2007.

 M. Mohebbi, H. Abrishami Moghaddam, “Real-time Ischemic Beat Classification Employ Beackpropagation Neural Network”, Proc. IEEE Fifteenth Signal Processing and Communication Applications Dialogue (SIU2007), Turkey, June 2007.