Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …
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) …
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 …
Wearable, integrated eeg–fnirs technologies: A review
There has been considerable interest in applying electroencephalography (EEG) and
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …
Design science and neuroscience: A systematic review of the emergent field of design neurocognition
Highlights•Design Neurocognition aims to elucidate the “black-box” of a designer's mind
through the use of brain imaging tools.•In our systematically review, we identify 82 …
through the use of brain imaging tools.•In our systematically review, we identify 82 …
[HTML][HTML] Dynamic inter-brain synchrony in real-life inter-personal cooperation: A functional near-infrared spectroscopy hyperscanning study
How two brains communicate with each other during social interaction is highly dynamic and
complex. Multi-person (ie, hyperscanning) studies to date have focused on analyzing the …
complex. Multi-person (ie, hyperscanning) studies to date have focused on analyzing the …
[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 …
Driving fatigue detection from EEG using a modified PCANet method
Y Ma, B Chen, R Li, C Wang, J Wang… - Computational …, 2019 - Wiley Online Library
The rapid development of the automotive industry has brought great convenience to our life,
which also leads to a dramatic increase in the amount of traffic accidents. A large proportion …
which also leads to a dramatic increase in the amount of traffic accidents. A large proportion …
Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review
Human gait is a complex activity that requires high coordination between the central nervous
system, the limb, and the musculoskeletal system. More research is needed to understand …
system, the limb, and the musculoskeletal system. More research is needed to understand …
An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease
Background Alzheimer's disease (AD) is projected to become one of the most expensive
diseases in modern history, and yet diagnostic uncertainties exist that can only be confirmed …
diseases in modern history, and yet diagnostic uncertainties exist that can only be confirmed …