A comparative analysis of signal processing and classification methods for different applications based on EEG signals
A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2020 - Elsevier
Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …
currents that are generated due to the synchronized activity by a group of specialized …
[HTML][HTML] Brain–computer interface speller based on steady-state visual evoked potential: A review focusing on the stimulus paradigm and performance
The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …
[HTML][HTML] Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal
To achieve a highly efficient brain-computer interface (BCI) system regarding emotion
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …
[HTML][HTML] Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design
Abstract Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic
activity observed in surface electroencephalography (EEG) in response to the presentation …
activity observed in surface electroencephalography (EEG) in response to the presentation …
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 …
Design, implementation, and metrological characterization of a wearable, integrated AR-BCI hands-free system for health 4.0 monitoring
P Arpaia, E De Benedetto, L Duraccio - Measurement, 2021 - Elsevier
An integrated real-time monitoring system based on Augmented Reality (AR) and Brain–
Computer Interface (BCI) for hands-free acquisition and visualization of remote data is …
Computer Interface (BCI) for hands-free acquisition and visualization of remote data is …
[HTML][HTML] Highly interactive brain–computer interface based on flicker-free steady-state motion visual evoked potential
C Han, G Xu, J Xie, C Chen, S Zhang - Scientific reports, 2018 - nature.com
Visual evoked potential-based brain–computer interfaces (BCIs) have been widely
investigated because of their easy system configuration and high information transfer rate …
investigated because of their easy system configuration and high information transfer rate …
Improvement of classification accuracy of four-class voluntary-imagery fNIRS signals using convolutional neural networks
Abstract Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has
become a convenient way for optical brain-computer interface. fNIRS signal classification …
become a convenient way for optical brain-computer interface. fNIRS signal classification …
EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals
H Wang, H Yu, H Wang - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
In recent years, the success of deep learning has driven the development of motor imagery
brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG). However …
brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG). However …
Channel selection for optimal EEG measurement in motor imagery-based brain-computer interfaces
A method for selecting electroencephalographic (EEG) signals in motor imagery-based
brain-computer interfaces (MI-BCI) is proposed for enhancing the online interoperability and …
brain-computer interfaces (MI-BCI) is proposed for enhancing the online interoperability and …