Search Results - "Motie Nasrabadi, Ali" :: K.UTB vyhledávací portál

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Prediction of epilepsy seizure from multi-channel electroencephalogram by effective connectivity analysis using Granger causality and directed transfer function methods

by Hejazi, Mona, Motie Nasrabadi, Ali
Published in Cognitive neurodynamics (01.10.2019)

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Possible Neuropathological Mechanisms Underlying the Increased Complexity of Brain Electrical Activity in Schizophrenia: A Computational Study

by Khaleghi, Ali, Mohammadi, Mohammad Reza, Shahi, Kian, Motie Nasrabadi, Ali
Published in Iranian journal of psychiatry (01.04.2023)

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Improving the performance of the SSVEP-based BCI system using optimized singular spectrum analysis (OSSA)

by Safi, Seyed Mohammad Mehdi, Pooyan, Mohammad, Motie Nasrabadi, Ali
Published in Biomedical signal processing and control (01.09.2018)

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Epilepsy seizure prediction with few-shot learning method

by Nazari, Jamal, Motie Nasrabadi, Ali, Menhaj, Mohammad Bagher, Raiesdana, Somayeh
Published in Brain informatics (01.12.2022)

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Analysis of Effective Connectivity Strength in Children with Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy

by Ekhlasi, Ali, Motie Nasrabadi, Ali, Mohammadi, Mohammad Reza
Published in Iranian journal of psychiatry (01.10.2021)

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Gender-Related Differences in Heart Rate Variability of Epileptic Patients

by Behbahani, Soroor, Jafarnia Dabanloo, Nader, Motie Nasrabadi, Ali, Dourado, Antonio
Published in American journal of men's health (01.01.2018)

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Classification of the Children with ADHD and Healthy Children Based on the Directed Phase Transfer Entropy of EEG Signals

by Ekhlasi, Ali, Motie Nasrabadi, Ali, Mohammadi, Mohammadreza
Published in Frontiers in biomedical technologies (23.06.2021)

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Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving

by Gharagozlou, Faramarz, Nasl Saraji, Gebraeil, Mazloumi, Adel, Nahvi, Ali, Motie Nasrabadi, Ali, Rahimi Foroushani, Abbas, Arab Kheradmand, Ali, Ashouri, Mohammadreza, Samavati, Mehdi
Published in Iranian journal of public health (01.12.2015)

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A Comparative Study of the Effect of Weighted or Binary Functional Brain Networks in fMRI Data Analysis

by Ahmadi, Hesam, Fatemizadeh, Emad, Motie Nasrabadi, Ali
Published in Frontiers in biomedical technologies (11.11.2020)

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Using rDCM Method in the Mixed Model in order to Inference Effective Connectivity in Emotions

by Farahani, Naemeh, Fatemizadeh, Emad, Motie Nasrabadi, Ali
Published in Frontiers in biomedical technologies (30.10.2019)

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Investigating the discrimination of linear and nonlinear effective connectivity patterns of EEG signals in children with Attention-Deficit/Hyperactivity Disorder and Typically Developing children

by Talebi, Nasibeh, Motie Nasrabadi, Ali
Published in Computers in biology and medicine (01.09.2022)

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Enhancement of Sleep Quality and Stability Using Acoustic Stimulation During Slow Wave Sleep

by Golrou, Aminollah, Sheikhani, Ali, Motie Nasrabadi, Ali, Saebipour, Mohammad Reza
Published in International clinical neuroscience journal (01.10.2018)

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Emotion Classification through Nonlinear EEG Analysis Using Machine Learning Methods

by Zangeneh Soroush, Morteza, Maghooli, Keivan, Kamaledin Setarehdan, Seyed, Motie Nasrabadi, Ali
Published in International clinical neuroscience journal (01.10.2018)

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A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP—STSA) for Emotion Recognition Using EEG Signals

by Tavakkoli, Hoda, Motie Nasrabadi, Ali
Published in Frontiers in human neuroscience (29.06.2022)

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Classification of Mental Stress Levels by Analyzing fNIRS Signal Using Linear and Non-linear Features

by Arefi Shirvan, Reza, Setarehdan, Seyed Kamaledin, Motie Nasrabadi, Ali
Published in International clinical neuroscience journal (01.04.2018)

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A neuronal population model based on cellular automata to simulate the electrical waves of the brain

by Khaleghi, Ali, Mohammadi, Mohammad Reza, Shahi, Kian, Motie Nasrabadi, Ali
Published in Waves in random and complex media (03.05.2024)

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A Review on EEG Signals Based Emotion Recognition

by Zangeneh Soroush, Morteza, Maghooli, Keivan, Setarehdan, Seyed Kamaledin, Motie Nasrabadi, Ali
Published in International clinical neuroscience journal (01.10.2017)

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