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Mohammad Javad Mollakazemi
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Journal Articles
- 2021
- [j1]Mohammad Javad Mollakazemi, Dibyajyoti Biswal, Sridhar Sunderam
, Abhijit Patwardhan:
EEG segments synchronized to be temporally farthest from the R-waves in ECG are more informative during listening to music. Biomed. Signal Process. Control. 68: 102660 (2021)
Conference and Workshop Papers
- 2020
- [c14]Mohammad Javad Mollakazemi, Dibyajyoti Biswal, Abhijit Patwardhan:
Interaction Among Musical, Cerebral and Autonomous Rhythms. ICCE 2020: 1-5 - [c13]Dibyajyoti Biswal, Mohammad Javad Mollakazemi, Brooke Place, Abhijit Patwardhan:
Heart Rate and Breathing Rate Calculated from Cheeks and Lips Using Green and Derived Colors from Video. iSES 2020: 23-26 - [c12]Dibyajyoti Biswal, Mohammad Javad Mollakazemi, Abhijit Patwardhan:
Changes in Coherent Activity Between EEG and Various Frequency Components of Music While Listening to Familiar and Unfamiliar Songs. iSES 2020: 31-34 - 2018
- [c11]Mohammad Javad Mollakazemi, Dibyajyoti Biswal, Joyce Evans, Abhijit Patwardhan:
Eigen Decomposition of Cardiac Synchronous EEGs for Investigation of Neural Effects of Tempo and Cognition of Songs. EMBC 2018: 2402-2405 - [c10]Dibyajyoti Biswal, Mohammad Javad Mollakazemi, Sridevi Thyagarajan, Joyce Evans, Abhijit Patwardhan:
Baroreflex Sensitivity During Listening to Music Computed from Time Domain Sequences and Frequency Domain Transfer Function. EMBC 2018: 2776-2779 - [c9]Mohammad Javad Mollakazemi, Dibyajyoti Biswal, Abhijit Patwardhan:
Target Frequency Band of Cognition and Tempo of Music: Cardiac Synchronous EEG. ISSPIT 2018: 24-28 - [c8]Mohammad Javad Mollakazemi, Dibyajyoti Biswal, Abhijit Patwardhan:
Target Frequency Band of Cognition and Tempo of Music: Cardiac Synchronous EEG. ISSPIT 2018: 696-700 - 2016
- [c7]Mostafa Abdollahpur, Shadi Ghiasi, Mohammad Javad Mollakazemi, Ali Ghaffari:
Cycle Selection and Neuro-Voting System for Classifying Heart Sound Recordings. CinC 2016 - [c6]Farhad Asadi, Mohammad Javad Mollakazemi, Shadi Ghiasi, Seyed Hossein Sadati:
Enhancement of Life-threatening Arrhythmias Discrimination in the Intensive Care Unit with Morphological Features and Interval Features Extraction via Random Forest Classifier. CinC 2016 - [c5]Mohammad Javad Mollakazemi, Farhad Asadi, Shadi Ghiasi, Seyed Hossein Sadati:
Applying Quality Index Criterion for Flexible Multi-Detection of Heartbeat Using Features of Multimodal Data. CinC 2016 - 2015
- [c4]Farhad Asadi, Mohammad Javad Mollakazemi, Seyyed Abbas Atyabi, Ilija Uzelac, Ali Ghaffari:
Cardiac Arrhythmia Recognition with Robust Discrete Wavelet-Based and Geometrical Feature Extraction via Classifiers of SVM and MLP-BP and PNN Neural Networks. CinC 2015: 933-936 - [c3]Farhad Asadi, Mohammad Javad Mollakazemi, Ilija Uzelac, S. Ali A. Moosavian
:
A Novel Method for Arterial Blood Pressure Pulse Detection Based on a New Coupling Strategy and Discrete Wavelet Transform. CinC 2015: 1081-1084 - [c2]Mohammad Javad Mollakazemi, Farhad Asadi, Hamid Ebrahimi Orimi, Seyyed Abbas Atyabi, Ilija Uzelac, Ali Ghaffari:
Estimation of extent damage tissue by multi resolution analysis of the electrocardiogram and Arterial Blood Pressure. CinC 2015: 1113-1116 - 2013
- [c1]Ali Ghaffari, Seyyed Abbas Atyabi, Mohammad Javad Mollakazemi, Mohammad Niknazar, Maryam Niknami, Ali Soleimani:
PhysioNet/CinC Challenge 2013: A Novel Noninvasive Technique to Recognize the Fetal QRS Complexes from Noninvasive Fetal Electrocardiogram Signals. CinC 2013: 293-296
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