faculty396015en

FA

Farideh Ebrahimi Khalesari

Assistant Professor

College: Electrical & Computer Engineering

Department: Bioelectric Engineering

CV

FA

Assistant Professor Farideh Ebrahimi Khalesari

College: Electrical & Computer Engineering - Department: Bioelectric Engineering

Google Scholar

Farideh Ebrahimi Khalesari

Assistant Professor

College: Electrical & Computer Engineering

Department: Bioelectric Engineering

Subjects Taught

activity_title	activity_desc	startedAt	endedAt
Physiology I		(not set)	(not set)
Electric and Electronic Circuits		(not set)	(not set)
Matlab Programming Workshop		(not set)	(not set)
Engineering Statistics and Probability		(not set)	(not set)
Electrical Circuits		(not set)	(not set)
Electronic Circuits		(not set)	(not set)
Artifical Neural Networks		(not set)	(not set)
Modeling of Biological Systems		(not set)	(not set)
Electrical Circuit and Measurement Lab		(not set)	(not set)

Executions And Scientific Activities

activity_title	activity_desc	startedAt	endedAt
EEG-based emotion recognition using a temporal-difference minimizing neural network		01 January 2023	(not set)
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data		01 January 2023	(not set)
Unsupervised Neural Decoding for Concurrent and Continuous Multi-Finger Force Prediction		01 January 2023	(not set)
Cross-subject Mental Workload Recognition Using Bi-classifier Domain Adversarial Learning		01 January 2024	(not set)
Enhancing security in BCI applications with deep learning: wavelet transformed EEG-based user identification		01 January 2024	(not set)
ECG Feature Extraction Using Stationary Wavelet Transform		01 January 2018	(not set)
Robust Remote Heart Rat e Estimation from Multiple Asynchronous Noisy Channels using Autoregressive Model with Kalman Filter		01 January 2018	(not set)
Variational Mode Extraction: a New Efficient Method to Derive Respiratory Signals from ECG		01 January 2017	(not set)
estimation of respiratory rate from the EMG component mixed mixed in single lead ECG signal		01 January 2017	(not set)
Sleep stages classification using ECG signal with novel features for the state transition detection		01 January 2018	(not set)
Efficient Detection and Correction of Variable Strength ECG Artifact from Single Channel EEG		01 January 2018	(not set)
Non-contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound		01 January 2018	(not set)
Integrating Machine Learning Techniques and Physiology Based Heart Rate Features for Antepartum Fetal Monitoring		01 January 2019	(not set)
Deep Learning Approaches in Health Care Systems: Taxonomies, Challenges, and Open Issues		01 January 2019	(not set)
An Review on Deep Learning Approaches in Healthcare Systems: Taxonomies, Challenges, and Open Issues		01 January 2020	(not set)
Segmentation of 3D Medical Images for Detection and Classification of Lung Tumor using content-based features		01 January 2020	(not set)
Online Myoelectric Pattern Recognition Based on Hybrid Spatial Features		01 January 2020	(not set)
Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients		01 January 2020	(not set)
A multi scale time-frequency view of epilepsy from human EEG signals reveals characteristic features of seizure		01 January 2020	(not set)
Designing an EOG Biofeedback Protocol to Treat or Reduce ADHD Symptoms Biomedical Signal Processing and Control		01 January 2020	(not set)

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Papers in Journals

1. Bahram Sarvi Zargar, Mohammad , Reza Karami , Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi،Generalizable epileptic seizures prediction based on deep transfer learning،Cognitive Neurodynamics،2023.
2. Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy،A review of critical challenges in MI-BCI: From conventional to deep learning methods،JOURNAL OF NEUROSCIENCE METHODS،2023.
3. Farideh Ebrahimi Khalesari, Iman Alizadeh،Automatic sleep staging by cardiorespiratory signals: a systematic review،Sleep and Breathing،2022.
4. Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy،A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals،COMPUTERS IN BIOLOGY AND MEDICINE،2022.
5. Ghasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi Khalesari،A hierarchical structure based on Stacking approach for skin lesion classification،EXPERT SYSTEMS WITH APPLICATIONS،2020.
6. Iman Alizadeh, Farideh Ebrahimi Khalesari،Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programs،Education and Information Technologies،2019.
7. Farideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer Nazeran،Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep Staging،Advances in Electrical and Electronic Engineering،2017.
8. Farideh Ebrahimi Khalesari, Seyed0Kamaledin Setarehdan, Homer Nazeran،Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs،Biomedical Signal Processing and Control،2015.
9. Farideh Ebrahimi Khalesari, Seyed Kamaledin setarehdan, Jose Ayala و Moyeda, Homer Nazeran،Automatic sleep staging using empirical mode decomposition discrete wavelet transform time0domain and nonlinear dynamics features of heart rate variability signals،COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE،2013.