17 citations · 31 across the 3 of their papers we have counts for
4 papers
An Open-Access Multi-modal Dataset for Cognitive, Motor, and Cognitive-Motor Tasks
Zaineb Ajra, Grégoire Vergotte, Stéphane Perrey +5
The incorporation of neuroimaging techniques such as electroenchephalography (EEG) and functional near-infrared spectroscopy (fNIRS) has provided new opportunities for the analysis…
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?
Zaineb Ajra, Binbin Xu, Gérard Dray +2
Over recent decades, neuroimaging tools, particularly electroencephalography (EEG), have revolutionized our understanding of the brain and its functions. EEG is extensively used in…
Using Shallow Neural Networks with Functional Connectivity from EEG signals for Early Diagnosis of Alzheimer's and Frontotemporal Dementia
Zaineb Ajra, Binbin Xu, Gérard Dray +2
{Introduction: } Dementia is a neurological disorder associated with aging that can cause a loss of cognitive functions, impacting daily life. Alzheimer's disease (AD) is the most…
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG
Zaineb Ajra, Binbin Xu, Gérard Dray +2
In recent years, neuroscientists have been interested to the development of brain-computer interface (BCI) devices. Patients with motor disorders may benefit from BCIs as a means o…