[HTML][HTML] Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning

A Maher, SM Qaisar, N Salankar, F Jiang… - biocybernetics and …, 2023 - Elsevier
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 …

Correlation-filter-based channel and feature selection framework for hybrid EEG-fNIRS BCI applications

MU Ali, A Zafar, KD Kallu, H Masood… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The proposed study is based on a feature and channel selection strategy that uses
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

M Nour, Ş Öztürk, K Polat - Neural Computing and Applications, 2021 - Springer
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 …

A systematic review on hybrid EEG/fNIRS in brain-computer interface

Z Liu, J Shore, M Wang, F Yuan, A Buss… - … Signal Processing and …, 2021 - Elsevier
As a relatively new field of neurology and computer science, brain computer interface (BCI)
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 …

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 …

Hybrid EEG-fNIRS brain computer interface based on common spatial pattern by using EEG-informed general linear model

Y Gao, B Jia, M Houston… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of
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

MAH Hasan, MU Khan, D Mishra - BioMed Research …, 2020 - Wiley Online Library
A hybrid brain computer interface (BCI) system considered here is a combination of
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 …

Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals

H Ghonchi, M Fateh, V Abolghasemi… - IET Signal …, 2020 - Wiley Online Library
Brain–computer interface (BCI) is a powerful system for communicating between the brain
and outside world. Traditional BCI systems work based on electroencephalogram (EEG) …