Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfaces

R Portillo-Lara, B Tahirbegi, CAR Chapman… - APL …, 2021 - pubs.aip.org
Brain–computer interfaces (BCIs) provide bidirectional communication between the brain
and output devices that translate user intent into function. Among the different brain imaging …

EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review

A Saibene, M Caglioni, S Corchs, F Gasparini - Sensors, 2023 - mdpi.com
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

A wearable EEG instrument for real-time frontal asymmetry monitoring in worker stress analysis

P Arpaia, N Moccaldi, R Prevete… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
A highly wearable single-channel instrument, conceived with off-the-shelf components and
dry electrodes, is proposed for detecting human stress in real time by …

Wireless and wearable EEG system for evaluating driver vigilance

CT Lin, CH Chuang, CS Huang, SF Tsai… - … circuits and systems, 2014 - ieeexplore.ieee.org
Brain activity associated with attention sustained on the task of safe driving has received
considerable attention recently in many neurophysiological studies. Those investigations …

The use of multivariate EMD and CCA for denoising muscle artifacts from few-channel EEG recordings

X Chen, X Xu, A Liu, MJ McKeown… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Electroencephalography (EEG) recordings are often contaminated by muscle artifacts. In the
literature, a number of methods have been proposed to deal with this problem. Yet most …

EEG-based detection of emotional valence towards a reproducible measurement of emotions

A Apicella, P Arpaia, G Mastrati, N Moccaldi - Scientific Reports, 2021 - nature.com
A methodological contribution to a reproducible Measurement of Emotions for an EEG-
based system is proposed. Emotional Valence detection is the suggested use case. Valence …

Wearable brain–computer interface instrumentation for robot-based rehabilitation by augmented reality

P Arpaia, L Duraccio, N Moccaldi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An instrument for remote control of the robot by wearable brain-computer interface (BCI) is
proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD) …

A survey on EEG-based solutions for emotion recognition with a low number of channels

A Apicella, P Arpaia, F Isgro, G Mastrati… - IEEE Access, 2022 - ieeexplore.ieee.org
The market uptake of Brain-Computer Interface technologies for clinical and non-clinical
applications is attracting the scientific world towards the development of daily-life wearable …

3-D CNN-based multichannel contrastive learning for Alzheimer's disease automatic diagnosis

J Li, Y Wei, C Wang, Q Hu, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a common progressive neurodegenerative disease in the
elderly. Mild cognitive impairment (MCI) is the symptomatic predementia stage of AD …

Independent vector analysis applied to remove muscle artifacts in EEG data

X Chen, H Peng, F Yu, K Wang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Electroencephalogram (EEG) data are often contaminated by various electrophysiological
artifacts. Among all these artifacts, the muscle activity is particularly difficult to remove. In the …