[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 …
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …
EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
Brain computer interface: control signals review
RA Ramadan, AV Vasilakos - Neurocomputing, 2017 - Elsevier
Abstract Brain Computer Interface (BCI) is defined as a combination of hardware and
software that allows brain activities to control external devices or even computers. The …
software that allows brain activities to control external devices or even computers. The …
Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
Dry electrode electroencephalogram (EEG) recording combined with wireless data
transmission offers an alternative tool to conventional wet electrode EEG systems. However …
transmission offers an alternative tool to conventional wet electrode EEG systems. However …
Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes
Recent advances in dry electrodes technology have facilitated the recording of EEG in
situations not previously possible, thanks to the relatively swift electrode preparation and …
situations not previously possible, thanks to the relatively swift electrode preparation and …
Classification of multiple motor imagery using deep convolutional neural networks and spatial filters
BE Olivas-Padilla, MI Chacon-Murguia - Applied Soft Computing, 2019 - Elsevier
Abstract Brain–Computer Interfaces (BCI) are systems that translate brain activity patterns
into commands for an interactive application, and some of them recognize patterns …
into commands for an interactive application, and some of them recognize patterns …
A wearable brain–computer interface instrument for augmented reality-based inspection in industry 4.0
This paper proposes a wearable monitoring system for inspection in the framework of
Industry 4.0. The instrument integrates augmented reality (AR) glasses with a noninvasive …
Industry 4.0. The instrument integrates augmented reality (AR) glasses with a noninvasive …
Recent progress in wearable brain–computer interface (BCI) devices based on electroencephalogram (EEG) for medical applications: a review
J Zhang, J Li, Z Huang, D Huang, H Yu, Z Li - Health Data Science, 2023 - spj.science.org
Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …
machine instructions to interoperate with the external world. However, limited by the …
A novel classification method for EEG-based motor imagery with narrow band spatial filters and deep convolutional neural network
Abstract The Common Spatial Pattern (CSP) algorithm is the most widely used method for
decoding Electroencephalography (EEG) signals from motor imagery (MI) paradigm …
decoding Electroencephalography (EEG) signals from motor imagery (MI) paradigm …
Motor imagery based continuous teleoperation robot control with tactile feedback
B Xu, W Li, X He, Z Wei, D Zhang, C Wu, A Song - Electronics, 2020 - mdpi.com
Brain computer interface (BCI) adopts human brain signals to control external devices
directly without using normal neural pathway. Recent study has explored many applications …
directly without using normal neural pathway. Recent study has explored many applications …