Ali Motie Nasrabadi

Orcid: 0000-0002-3702-8547

According to our database1, Ali Motie Nasrabadi authored at least 61 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel feature extraction method for the localization of accessory pathways in patients with Wolff-Parkinson-White syndrome.
Biomed. Signal Process. Control., February, 2024

Siamese based deep neural network for ADHD detection using EEG signal.
Comput. Biol. Medicine, 2024

Prediction of Expanded Disability Status Scale in patients with MS using deep learning.
Comput. Biol. Medicine, 2024

A subject-independent portable emotion recognition system using synchrosqueezing wavelet transform maps of EEG signals and ResNet-18.
Biomed. Signal Process. Control., 2024

2023
Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series.
Commun. Nonlinear Sci. Numer. Simul., November, 2023

Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Towards real-world BCI: CCSPNet, a compact subject-independent motor imagery framework.
Digit. Signal Process., March, 2023

Gender Differences in EEG Responses to Color and Black-White Images: Implications for Neuromarketing Strategies.
IEEE Access, 2023

2022
EEG data for ADHD / Control children.
Dataset, December, 2022

Investigating the discrimination of linear and nonlinear effective connectivity patterns of EEG signals in children with Attention-Deficit/Hyperactivity Disorder and Typically Developing children.
Comput. Biol. Medicine, 2022

Evaluating the event-related potentials relevant to two groups of the Quran memorizers and non-memorizers during the retrieval phase of the visual memory.
Biomed. Signal Process. Control., 2022

Epilepsy seizure prediction with few-shot learning method.
Brain Informatics, 2022

Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study.
IEEE Access, 2022

2021
fMRI functional connectivity analysis via kernel graph in Alzheimer's disease.
Signal Image Video Process., 2021

A new blind source separation approach based on dynamical similarity and its application on epileptic seizure prediction.
Signal Process., 2021

Frequency-specific network effective connectivity: ERP analysis of recognition memory process by directed connectivity estimators.
Medical Biol. Eng. Comput., 2021

Deep sparse graph functional connectivity analysis in AD patients using fMRI data.
Comput. Methods Programs Biomed., 2021

Single-Trial Decoding of Motion Direction During Visual Attention From Local Field Potential Signals.
IEEE Access, 2021

2020
EEG/PPG effective connectivity fusion for analyzing deception in interview.
Signal Image Video Process., 2020

Identifying the Optimal Features in Multimodal Deception Detection.
Multimodal Technol. Interact., 2020

Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework.
CoRR, 2020

Emotion recognition using EEG phase space dynamics and Poincare intersections.
Biomed. Signal Process. Control., 2020

Representing Temporal Network based on dDTF of EEG signals in Children with Autism and Healthy Children.
Biomed. Signal Process. Control., 2020

2019
nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study.
IEEE Trans. Medical Imaging, 2019

A novel EEG-based approach to classify emotions through phase space dynamics.
Signal Image Video Process., 2019

Combination of discrete wavelet packet transform with detrended fluctuation analysis using customized mother wavelet with the aim of an imagery-motor control interface for an exoskeleton.
Multim. Tools Appl., 2019

Bypassing the volume conduction effect by multilayer neural network for effective connectivity estimation.
Medical Biol. Eng. Comput., 2019

A self-organized recurrent neural network for estimating the effective connectivity and its application to EEG data.
Comput. Biol. Medicine, 2019

2018
A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal.
Expert Syst. Appl., 2018

Detecting slow wave sleep and rapid eye movement stage using cortical effective connectivity.
Turkish J. Electr. Eng. Comput. Sci., 2018

SSVEP recognition by modeling brain activity using system identification based on Box-Jenkins model.
Comput. Biol. Medicine, 2018

Improving the performance of the SSVEP-based BCI system using optimized singular spectrum analysis (OSSA).
Biomed. Signal Process. Control., 2018

A Novel Approach to Mortality Prediction of ICU Cardiovascular Patient Based on Fuzzy Logic Method.
Biomed. Signal Process. Control., 2018

Cumulative effects of theta binaural beats on brain power and functional connectivity.
Biomed. Signal Process. Control., 2018

2017
Recognition of emotional states in response to audio-visual inductions based on nonlinear analysis and self-organisation map classification.
Int. J. Medical Eng. Informatics, 2017

A new approach to estimating the evoked hemodynamic response applied to dual channel functional near infrared spectroscopy.
Comput. Biol. Medicine, 2017

Prediction of Ventricular Tachycardia Using Nonlinear Features of Heart Rate Variability and Artificial Neural Network Classifier.
Proceedings of the Computing in Cardiology, 2017

2016
Identification of Chaos-Periodic Transitions, Band Merging, and Internal Crisis Using Wavelet-DFA Method.
Int. J. Bifurc. Chaos, 2016

Epileptic Seizure Prediction Using a New Similarity Index for Chaotic Signals.
Int. J. Bifurc. Chaos, 2016

2015
The relation of susceptibility levels of hypnosis and different mental tasks.
Signal Image Video Process., 2015

Subject transfer BCI based on Composite Local Temporal Correlation Common Spatial Pattern.
Comput. Biol. Medicine, 2015

2014
A new algorithm for detection of epileptic seizures based on HRV signal.
J. Exp. Theor. Artif. Intell., 2014

2013
Estimation of hypnosis susceptibility based on electroencephalogram signal features.
Sci. Iran., 2013

2012
Evaluating nonlinear variability of mental fatigue behavioral indices during long-term attentive task.
Complex., 2012

Comparison of different EEG features in estimation of hypnosis susceptibility level.
Comput. Biol. Medicine, 2012

A Nonlinear Feature Fusion by Variadic Neural Network in Saliency-based Visual Attention.
Proceedings of the VISAPP 2012, 2012

2011
Dynamic Patterns of Postural Fluctuations during Quiet standing: a Recurrence Quantification Approach.
Int. J. Bifurc. Chaos, 2011

A new method for extraction of fetal electrocardiogram signal based on Adaptive Nero-Fuzzy Inference System.
Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011

Artificial neural network weights optimization using ICA, GA, ICA-GA and R-ICA-GA: Comparing performances.
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011

2010
Identification of Dynamic Patterns of Body sway during Quiet standing: is IT a Nonlinear Process?
Int. J. Bifurc. Chaos, 2010

Recurrence Plots for Identifying Memory Components in Single-Trial EEGs.
Proceedings of the Brain Informatics, International Conference, 2010

2009
Intelligent Fuzzy Chaotic Control of a Two-Link Rigid Robot Arm.
Proceedings of the EMS 2009, 2009

2008
Fusion of classic P300 detection methods' inferences in a framework of fuzzy labels.
Artif. Intell. Medicine, 2008

Committee machines and quadratic B-spline wavelet for the P300 speller paradigm.
Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

2007
Biometric Nanotechnology and Nonlinear Dynamics.
Proceedings of the First International Conference on Quantum, Nano, and Micro Technologies, 2007

Using Supervised Fuzzy Clustering and CWT for Ventricular Late Potentials Detection in HRECG Signal.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

Toward a Solution for "Genetic Algorithm"-"Support Vector Machine" Combination to Have a Reliable P300-based BCI.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

2006
Combination of Frequency Bands in EEG for Feature Reduction in Mental Task Classification.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Classification of chaotic signals using HMM classifiers: EEG-based mental task classification.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Selecting better EEG channels for classification of mental tasks.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004


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