[HTML][HTML] Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
[HTML][HTML] Enhancing performance of a hybrid EEG-fNIRS system using channel selection and early temporal features
Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
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 …
[HTML][HTML] fNIRS-based brain-computer interfaces: a review
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …
activity to control computers or other external devices. It can, by bypassing the peripheral …
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] Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels
It has been demonstrated that the performance of typical unimodal brain-computer interfaces
(BCIs) can be noticeably improved by combining two different BCI modalities. This so-called …
(BCIs) can be noticeably improved by combining two different BCI modalities. This so-called …
A tensor-based frequency features combination method for brain–computer interfaces
Y Pei, Z Luo, H Zhao, D Xu, W Li, Y Yan… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
With the development of the brain-computer interface (BCI) community, motor imagery-
based BCI system using electroencephalogram (EEG) has attracted increasing attention …
based BCI system using electroencephalogram (EEG) has attracted increasing attention …
Open access dataset for EEG+ NIRS single-trial classification
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …
[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 …
A comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …