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 …
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 …
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 …
Measuring mental workload with EEG+ fNIRS
We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …
mental workload (MWL). We have used electroencephalography (EEG) and functional near …
Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS
When interacting with technical systems, users experience mental workload. Particularly in
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …
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 …
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 …
Passive BCI based on drowsiness detection: an fNIRS study
We use functional near-infrared spectroscopy (fNIRS) to discriminate the alert and drowsy
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …
Real-time state estimation in a flight simulator using fNIRS
Working memory is a key executive function for flying an aircraft. This function is particularly
critical when pilots have to recall series of air traffic control instructions. However, working …
critical when pilots have to recall series of air traffic control instructions. However, working …