M. Azarnoosh

Increasing the Accuracy of Blood Hematocrit Measurement by Triplicate Wavelength Photoplethysmography Method

M. Azarnoosh, Hojjat Doostdar Noghabi, 2018, Jorjani Biomedicine Journal.

Optimal Feature Space Selection in Detecting Epileptic Seizure based on Recurrent Quantification Analysis and Genetic Algorithm

M. Azarnoosh, Saleh Lashkari, 2016 .

Assessment of Photoplethysmography Method in Extraction of Hemoglobin Concentration

H. Doostdar, M. Azarnoosh, 2018, Journal of biomedical physics & engineering.

Comparison of the Function of the Elman Neural Network and the Deep Neural Network for the Diagnosis of Mild Alzheimer's Disease

M. Ghoshuni, M. Azarnoosh, mohammadmehdi khalilzadeh, 2021, The Neuroscience Journal of Shefaye Khatam.

Diagnosis of mild Alzheimer's disease by EEG and ERP signals using linear and nonlinear classifiers

Majid Ghoshuni, Elias Mazrooei Rad, Mahdi Azarnoosh, 2021, Biomed. Signal Process. Control..

Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics

Mohammad Reza Mohammadi, Ali Motie Nasrabadi, Mohammad Firoozabadi, 2011 .

Evaluating variability of frequency features of EEG signals during mental fatigue

Ali Motie Nasrabadi, Mohammad Reza Mohammadi, Seyyed Mohammad P. Firoozabadi, 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

Evaluating nonlinear variability of mental fatigue behavioral indices during long-term attentive task

Mohammad Reza Mohammadi, Ali Motie Nasrabadi, Mohammad Firoozabadi, 2012, Complex..

Using Visibility Graph to Analyze Brain Connectivity

M. Azarnoosh, Hoda Majdi, Majid Ghoshuni, 2022, The Neuroscience Journal of Shefaye Khatam.

Combining Nonlinear Features of EEG and MRI to Diagnose Alzheimer’s Disease

M. Azarnoosh, E. M. Rad, mohammadmehdi khalilzadeh, 2024, Annals of Data Science.