Neurotechnologies for human cognitive augmentation: current state of the art and future prospects

C Cinel, D Valeriani, R Poli - Frontiers in human neuroscience, 2019 - frontiersin.org
Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction

K Barnova, M Mikolasova, RV Kahankova… - Computers in Biology …, 2023 - Elsevier
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

Correlation-based channel selection and regularized feature optimization for MI-based BCI

J Jin, Y Miao, I Daly, C Zuo, D Hu, A Cichocki - Neural Networks, 2019 - Elsevier
Multi-channel EEG data are usually necessary for spatial pattern identification in motor
imagery (MI)-based brain computer interfaces (BCIs). To some extent, signals from some …

Concealed, unobtrusive ear-centered EEG acquisition: cEEGrids for transparent EEG

MG Bleichner, S Debener - Frontiers in human neuroscience, 2017 - frontiersin.org
Electroencephalography (EEG) is an important clinical tool and frequently used to study the
brain-behavior relationship in humans noninvasively. Traditionally, EEG signals are …

30+ years of P300 brain–computer interfaces

BZ Allison, A Kübler, J Jin - Psychophysiology, 2020 - Wiley Online Library
Brain–computer interfaces (BCIs) directly measure brain activity with no physical movement
and translate the neural signals into messages. BCIs that employ the P300 event‐related …

Brain-computer interfaces for children with complex communication needs and limited mobility: a systematic review

S Orlandi, SC House, P Karlsson, R Saab… - Frontiers in Human …, 2021 - frontiersin.org
Brain-computer interfaces (BCIs) represent a new frontier in the effort to maximize the ability
of individuals with profound motor impairments to interact and communicate. While much …

Give me a sign: decoding four complex hand gestures based on high-density ECoG

MG Bleichner, ZV Freudenburg, JM Jansma… - Brain Structure and …, 2016 - Springer
The increasing understanding of human brain functions makes it possible to directly interact
with the brain for therapeutic purposes. Implantable brain computer interfaces promise to …

Performance measurement for brain–computer or brain–machine interfaces: a tutorial

DE Thompson, LR Quitadamo, L Mainardi… - Journal of neural …, 2014 - iopscience.iop.org
Objective. Brain–computer interfaces (BCIs) have the potential to be valuable clinical tools.
However, the varied nature of BCIs, combined with the large number of laboratories …

Novel semi-dry electrodes for brain–computer interface applications

F Wang, G Li, J Chen, Y Duan… - Journal of neural …, 2016 - iopscience.iop.org
Objectives. Modern applications of brain–computer interfaces (BCIs) based on
electroencephalography rely heavily on the so-called wet electrodes (eg Ag/AgCl …

Brain-switches for asynchronous brain–computer interfaces: a systematic review

CH Han, KR Müller, HJ Hwang - Electronics, 2020 - mdpi.com
A brain–computer interface (BCI) has been extensively studied to develop a novel
communication system for disabled people using their brain activities. An asynchronous BCI …