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) …
Existence of initial dip for BCI: an illusion or reality
A tight coupling between the neuronal activity and the cerebral blood flow (CBF) is the
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …
EEG classification of covert speech using regularized neural networks
Communication using brain-computer interfaces (BCIs) can be non-intuitive, often requiring
the performance of a conversation-irrelevant task such as hand motor imagery. In this paper …
the performance of a conversation-irrelevant task such as hand motor imagery. In this paper …
Online EEG classification of covert speech for brain–computer interfacing
Brain–computer interfaces (BCIs) for communication can be nonintuitive, often requiring the
performance of hand motor imagery or some other conversation-irrelevant task. In this …
performance of hand motor imagery or some other conversation-irrelevant task. In this …
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
Classification of bipolar disorder and schizophrenia using steady-state visual evoked potential based features
The accurate discrimination between bipolar disorder (BD) and schizophrenic patients is
crucial because of the considerable overlap between their clinical signs and symptoms (eg …
crucial because of the considerable overlap between their clinical signs and symptoms (eg …
Online classification of imagined speech using functional near-infrared spectroscopy signals
Objective. Most brain–computer interfaces (BCIs) based on functional near-infrared
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …
Open-access fNIRS dataset for classification of unilateral finger-and foot-tap**
Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …
widely employed by EEG researchers. However, not many functional near-infrared …
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 …
Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech
There is increasing interest in develo** intuitive brain-computer interfaces (BCIs) to
differentiate intuitive mental tasks such as imagined speech. Both electroencephalography …
differentiate intuitive mental tasks such as imagined speech. Both electroencephalography …