[HTML][HTML] Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybrid-
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
Correlation-filter-based channel and feature selection framework for hybrid EEG-fNIRS BCI applications
The proposed study is based on a feature and channel selection strategy that uses
correlation filters for brain–computer interface (BCI) applications using …
correlation filters for brain–computer interface (BCI) applications using …
A novel classification framework using multiple bandwidth method with optimized CNN for brain–computer interfaces with EEG-fNIRS signals
The most effective way to communicate between the brain and electronic devices in the
outside world is the brain–computer interface (BCI) systems. BCI systems use signals of …
outside world is the brain–computer interface (BCI) systems. BCI systems use signals of …
A systematic review on hybrid EEG/fNIRS in brain-computer interface
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …
has many established and burgeoning applications across scientific disciplines. Many …
[HTML][HTML] An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals
A Alhudhaif - PeerJ Computer Science, 2021 - peerj.com
Background The brain-computer interface (BCI) is a relatively new but highly promising
special field that is actively used in basic neuroscience. BCI includes interfaces for human …
special field that is actively used in basic neuroscience. BCI includes interfaces for human …
A brain-computer interface based on a few-channel EEG-fNIRS bimodal system
S Ge, Q Yang, R Wang, P Lin, J Gao, Y Leng… - IEEE …, 2017 - ieeexplore.ieee.org
With the development of the wearable brain-computer interface (BCI), a few-channel BCI
system is necessary for its application to daily life. In this paper, we proposed a bimodal BCI …
system is necessary for its application to daily life. In this paper, we proposed a bimodal BCI …
Hybrid EEG-fNIRS brain computer interface based on common spatial pattern by using EEG-informed general linear model
Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …
A Computationally Efficient Method for Hybrid EEG‐fNIRS BCI Based on the Pearson Correlation
A hybrid brain computer interface (BCI) system considered here is a combination of
electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS). EEG …
electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS). EEG …
A novel multimodal approach for hybrid brain–computer interface
Z Sun, Z Huang, F Duan, Y Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Brain-computer interface (BCI) technologies have been widely used in many areas. In
particular, non-invasive technologies such as electroencephalography (EEG) or near …
particular, non-invasive technologies such as electroencephalography (EEG) or near …
Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals
Brain–computer interface (BCI) is a powerful system for communicating between the brain
and outside world. Traditional BCI systems work based on electroencephalogram (EEG) …
and outside world. Traditional BCI systems work based on electroencephalogram (EEG) …
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