Bichromatic visual stimulus with subharmonic response to achieve a high-accuracy SSVEP BCI system with low eye irritation

F Vahid, M Behboodi, A Mahnam - Biomedical Signal Processing and …, 2023 - Elsevier
Abstract Objective While various Steady State Visual Evoked Potential Brain-Computer
Interfaces (SSVEP BCI) with very high performance have already been developed, eye …

A subject-independent SSVEP-based BCI target detection system based on fuzzy ordering of EEG task-related components

Z Tabanfar, F Ghassemi, MH Moradi - Biomedical Signal Processing and …, 2023 - Elsevier
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 …

SSVEP-gated EMG-based decoding of elbow angle during goal-directed reaching movement

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 …

Canonical correlation analysis of task related components as a noise-resistant method in Brain-computer interface speller systems based on steady-State visual …

E Rostami, F Ghassemi, Z Tabanfar - Biomedical Signal Processing and …, 2022 - Elsevier
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 …

[HTML][HTML] Mental arithmetic task recognition using effective connectivity and hierarchical feature selection from EEG Signals

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 …

Fuzzy ensemble system for SSVEP stimulation frequency detection using the MLR and MsetCCA

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 …

Active Claw-Shaped Dry Electrodes for EEG Measurement in Hair Areas

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 …

Novel frequency-based approach for detection of steady-state visual evoked potentials for realization of practical brain computer interfaces

M Neghabi, HR Marateb, A Mahnam - Brain-Computer Interfaces, 2022 - Taylor & Francis
Various algorithms for recognizing Steady-State Visual Evoked Potentials have been
proposed over the last decade for realizing Brain-Computer Interfaces. However, frequency …

Anomalous behavior detection in trajectory data of older drivers

SGA Ghoreishi, S Moshfeghi, MT Jan… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
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 …

Comparative Study of Frequency Recognition Techniques for Steady-State Visual Evoked Potentials According to the Frequency Harmonics and Stimulus Number

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 …