Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
[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 …
[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) …
Mental stress assessment using simultaneous measurement of EEG and fNIRS
Previous studies reported mental stress as one of the major contributing factors leading to
various diseases such as heart attack, depression and stroke. An accurate stress …
various diseases such as heart attack, depression and stroke. An accurate stress …
Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI
Functional near-infrared spectroscopy (fNIRS) is an optical imaging method that can be
used for a brain-computer interface (BCI). In the present study, we concurrently measure and …
used for a brain-computer interface (BCI). In the present study, we concurrently measure and …
[HTML][HTML] Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-
signal classification that can be used in the formulation of control commands. In the present …
signal classification that can be used in the formulation of control commands. In the present …
Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface
This paper presents a study on functional near-infrared spectroscopy (fNIRS) indicating that
the hemodynamic responses of the right-and left-wrist motor imageries have distinct patterns …
the hemodynamic responses of the right-and left-wrist motor imageries have distinct patterns …
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] Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
Cognitive workload is one of the widely invoked human factors in the areas of human–
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
[HTML][HTML] Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application
In this study, we determine the optimal feature-combination for classification of functional
near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two …
near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two …