پنج شنبه، 20 اردیبهشت 1403 تماس با ما نقشه سایت صفحه اصلی
 
 
 
 
     

اصغر زارعی
مرتبه علمی :استادیار
تخصص : Biomedical Engineering - Bioelectric
زمینه های تحقیقاتی : Biomedical Signal Processing, Neuroscience, Machine Learning, Pattern Recognition
مراکز تحقیقاتی :

پست الکترونیکی: a.zarei@sut.ac.ir , asgharzarei1993@gmail.com
شماره تلفن: 04133458419
شماره فکس:
رزومه:

Sahand University of Technology

        Dr. Asghar Zarei
        Assistant Professor

        Biomedical Engineering Group (Bioelectric)
        Department of Biomedical Engineering Sahand University of Technology Tabriz, Iran
        Tel: (0098 41 3345 8419) 
        Email(s): a.zarei@sut.ac.ir  or   asgharzarei1993@gmail.com
 

Education

        Ph.D. in Biomedical Engineering, Bioelectric, Tarbiat Modares University, Tehran, Iran.       (Sept. 2018  -  Sept. 2022)
        Thesis Title: "Introducing an Efficient Adaptive Beamformer for EEG-based Brain-Computer Interfaces"
        Supervisor: Dr. Babak Mohammadzadeh Asl
 
        M.Sc. in Biomedical Engineering, Bioelectric, Tarbiat Modares University, Tehran, Iran.              (Sept. 2015  -  Febr. 2018)
        Thesis Title: "Detection of Sleep Apnea from ECG Signal and Determining its Severity"
        Supervisor: Dr. Babak Mohammadzadeh Asl
 
        B.Sc. in Biomedical Engineering, Bioelectric, Sahand University of Technology, Tabriz, Iran       (Febr. 2012  -  Sept. 2015)
        Supervisor: Dr. Mousa Shamsi

 

Journal Papers:

  • Zarei, Asghar, and Babak Mohammadzadeh Asl. "Enhancing multi-class SSVEP classification performance using regularized covariance estimators, spatiotemporal beamforming, and short-time EEG trials." Measurement ", DOI: https://doi.org/10.1016/j.measurement.2023.113861
  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy-Based Features From Single-Lead ECG Signal", "IEEE Journal of Biomedical and Health Informatics",  DOI: 10.1109/JBHI.2018.2842919
  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Performance Evaluation of the Spectral Autocorrelation Function and AR Models for Automated Sleep Apnea Detection Using Single-Lead ECG Signal", "Computer Methods and Programs in Biomedicine",  DOI https://doi.org/10.1016/j.cmpb.2020.105626

  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals", "Biomedical Signal Processing and Control", DOI: https://doi.org/10.1016/j.bspc.2020.101927

  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals", "Computers in Biology and Medicine", DOI: https://doi.org/10.1016/j.compbiomed.2021.104250

  • Shariat, A., Zarei, A., Karvigh, S.A. et al. "Automatic detection of epileptic seizures using Riemannian geometry from scalp EEG recordings", "Medical & Biological Engineering & Computing", DOI: https://doi.org/10.1007/s11517-021-02385-z

  • Asghar Zarei, Hossein Beheshti, and Babak Mohammadzadeh Asl. "Detection of sleep apnea using deep neural networks and single-lead ECG signals", "Biomedical Signal Processing and Control", DOI: https://doi.org/10.1016/j.bspc.2021.103125

  • Zarei, Asghar, and Babak Mohammadzadeh Asl. "Classification of code-modulated visual evoked potentials using adaptive modified covariance beamformer and EEG signals", "Computer Methods and Programs in Biomedicine", DOI: https://doi.org/10.1016/j.cmpb.2022.106859

  • Zarei, Asghar, and Babak Mohammadzadeh Asl. "Automatic detection of code-modulated visual evoked potentials using novel covariance estimators and short-time EEG signals", "Computers in Biology and Medicine", DOI: https://doi.org/10.1016/j.compbiomed.2022.105771

  • Talesh A, Zarei A, et al. "Balance-energy of resting state network in obsessive-compulsive disorder", "Scientific Reports", DOI: https://doi.org/10.1038/s41598-023-37304-9

  • Zarei A, Ghasemi A, et al. "Combining pattern recognition and deep-learning-based algorithms to automatically detect commercial quadcopters using audio signals", "Journal of Acoustical Engineering Society of Iran", DOI: http://joasi.ir/article-1-246-en.html

  • Zarei A, Ghasemi A, et al. "Automatic classification of normal and abnormal cardiac sounds by combining features based on wavelet transform and capstral coefficients extracted from PCG signals", "Journal of Acoustical Engineering Society of Iran", DOI: http://joasi.ir/article-1-245-en.html

 

Conference Papers:

  • Rasti-Meymandi, A., Karimzadeh, R., Zarei, A., & Ghaffari, A. "A Non-contact heart rate estimation framework based on photoplethysmography amplitude variation elimination and data fusion". In 2021, at the 28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME), DOI: 10.1109/ICBME54433.2021.9750345                                                                                                                                                                                                                                                                                                                                                              
  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Improving the performance of P300-based BCI systems using regularized spatiotemporal beamforming and EEG signals", "at the 11th Basic and Clinical Neuroscience Congress", held on February 13-14, 2023, Tehran, Iran                                                                                                                                                                      
  • Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform From Single-Lead ECG Signal". at the 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), held on 30 NOV. - 1 DEC., Tehran, Iran  
  • Nazanin Sayad Mojdeh Bar, Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic Dream Related Emotion Classification Using EEG Nonlinear Features". at the 30th National and 8nd International Iranian Conference on Biomedical Engineering (ICBME 2023), held on 1 DEC., Tehran, Iran  
  • Romina Moghaddam, Asghar Zarei, and Babak Mohammadzadeh Asl. "Automatic Detection of Major Depression Disorder Using EEG Signal and Entropy-Based Features". at the 30th National and 8nd International Iranian Conference on Biomedical Engineering (ICBME 2023), held on 1 DEC., Tehran, Iran  
       
 
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