[HTML][HTML] Wireless EEG: A survey of systems and studies

G Niso, E Romero, JT Moreau, A Araujo, LR Krol - NeuroImage, 2023 - Elsevier
The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

Wearable EEG and beyond

AJ Casson - Biomedical engineering letters, 2019 - Springer
The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the
brain. It is based upon placing conductive electrodes on the scalp which measure the small …

Emotionmeter: A multimodal framework for recognizing human emotions

WL Zheng, W Liu, Y Lu, BL Lu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we present a multimodal emotion recognition framework called EmotionMeter
that combines brain waves and eye movements. To increase the feasibility and wearability …

The PREP pipeline: standardized preprocessing for large-scale EEG analysis

N Bigdely-Shamlo, T Mullen, C Kothe, KM Su… - Frontiers in …, 2015 - frontiersin.org
The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …

EEG analytics for early detection of autism spectrum disorder: a data-driven approach

WJ Bosl, H Tager-Flusberg, CA Nelson - Scientific reports, 2018 - nature.com
Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on
the basis of behavioral symptoms during the second year of life or later. Finding scalable …

EEG-based brain–computer interfaces

DJ McFarland, JR Wolpaw - current opinion in Biomedical Engineering, 2017 - Elsevier
Abstract Brain–Computer Interfaces (BCIs) are real-time computer-based systems that
translate brain signals into useful commands. To date most applications have been …

A multimodal approach to estimating vigilance using EEG and forehead EOG

WL Zheng, BL Lu - Journal of neural engineering, 2017 - iopscience.iop.org
Objective. Covert aspects of ongoing user mental states provide key context information for
user-aware human computer interactions. In this paper, we focus on the problem of …

[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface

JJS Norton, DS Lee, JW Lee, W Lee… - Proceedings of the …, 2015 - National Acad Sciences
Recent advances in electrodes for noninvasive recording of electroencephalograms expand
opportunities collecting such data for diagnosis of neurological disorders and brain …

Diversity and suitability of the state-of-the-art wearable and wireless EEG systems review

C He, YY Chen, CR Phang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …