BCI systems are recognized as a means of interaction between the brain and the computer. In this research, a subject-independent BCI target detection system based on SSVEP was …
F Davarinia, A Maleki - Biomedical Signal Processing and Control, 2022 - Elsevier
Introduction Estimation of reaching movement commands for controlling human–machine interfaces (HMIs) based on electromyogram (EMG) signals, such as prostheses or robotic …
Abstract Objective Brain-Computer Interface Speller systems based on Steady-State Visual Evoked Potentials (SSVEPs) can help people write text without moving their hands. This …
A Maghsoudi, A Shalbaf - Basic and Clinical Neuroscience, 2021 - ncbi.nlm.nih.gov
Methods: We estimated effective connectivity using Directed Transfer Function (DTF), direct DTF (dDTF) and Generalized Partial Directed Coherence (GPDC) methods. These …
A Ziafati, A Maleki - Journal of Neuroscience Methods, 2020 - Elsevier
Background BCI systems based on steady-state visual evoked potentials (SSVEP) have formed an immense contribution to practical applications, due to their high recognition …
Z Wang, Y Ding, W Yuan, H Chen, W Chen, C Chen - Bioengineering, 2024 - mdpi.com
EEG, which can provide brain alteration information via recording the electrical activity of neurons in the cerebral cortex, has been widely used in neurophysiology. However …
Various algorithms for recognizing Steady-State Visual Evoked Potentials have been proposed over the last decade for realizing Brain-Computer Interfaces. However, frequency …
Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hard-brakings, and …
M Azadi Moghadam, A Maleki - Journal of Biomedical Physics and …, 2024 - jbpe.sums.ac.ir
Background: A key challenge in steady-state visual evoked potential (SSVEP)-based brain- computer interface (BCI) systems is to effectively recognize frequencies within a short time …