[HTML][HTML] Past, present, and future of EEG-based BCI applications

K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

[HTML][HTML] Electroencephalography signal processing: A comprehensive review and analysis of methods and techniques

A Chaddad, Y Wu, R Kateb, A Bouridane - Sensors, 2023 - mdpi.com
The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

[HTML][HTML] Decoding covert speech from EEG-a comprehensive review

JT Panachakel, AG Ramakrishnan - Frontiers in Neuroscience, 2021 - frontiersin.org
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

[HTML][HTML] Questionnaire measures and physiological correlates of presence: A systematic review

S Grassini, K Laumann - Frontiers in psychology, 2020 - frontiersin.org
The published literature has produced several definitions for the sense of presence in a
simulated environment, as well as various methods for measuring it. The variety of …

Review of semi-dry electrodes for EEG recording

GL Li, JT Wu, YH Xia, QG He… - Journal of Neural …, 2020 - iopscience.iop.org
Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …

[HTML][HTML] Performance of the Emotiv Epoc headset for P300-based applications

M Duvinage, T Castermans, M Petieau… - Biomedical engineering …, 2013 - Springer
Background For two decades, EEG-based Brain-Computer Interface (BCI) systems have
been widely studied in research labs. Now, researchers want to consider out-of-the-lab …

A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment

S Jirayucharoensak, P Israsena… - … interventions in aging, 2019 - Taylor & Francis
Introduction This study examines the clinical efficacy of a game-based neurofeedback
training (NFT) system to enhance cognitive performance in patients with amnestic mild …

Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks

R Zink, B Hunyadi, S Van Huffel… - Journal of neural …, 2016 - iopscience.iop.org
Objective. In the past few years there has been a growing interest in studying brain
functioning in natural, real-life situations. Mobile EEG allows to study the brain in real …

[HTML][HTML] Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review

B Weber, T Fischer, R Riedl - Journal of Systems and Software, 2021 - Elsevier
In the past decade, brain and autonomic nervous system activity measurement received
increasing attention in the study of software engineering (SE). This paper presents a …