Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
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 …

fNIRS-based brain-computer interfaces: a review

N Naseer, KS Hong - Frontiers in human neuroscience, 2015 - frontiersin.org
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 …

Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in human neuroscience, 2018 - frontiersin.org
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

Mental stress assessment using simultaneous measurement of EEG and fNIRS

F Al-Shargie, M Kiguchi, N Badruddin… - Biomedical optics …, 2016 - opg.optica.org
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 …

Measuring mental workload with EEG+ fNIRS

H Aghajani, M Garbey, A Omurtag - Frontiers in human neuroscience, 2017 - frontiersin.org
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 during n-back task—quantified in the prefrontal cortex using fNIRS

C Herff, D Heger, O Fortmann, J Hennrich… - Frontiers in human …, 2014 - frontiersin.org
When interacting with technical systems, users experience mental workload. Particularly in
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

KS Hong, N Naseer, YH Kim - Neuroscience letters, 2015 - Elsevier
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 …

Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface

N Naseer, KS Hong - Neuroscience letters, 2013 - Elsevier
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 …

Passive BCI based on drowsiness detection: an fNIRS study

MJ Khan, KS Hong - Biomedical optics express, 2015 - opg.optica.org
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 …

Real-time state estimation in a flight simulator using fNIRS

T Gateau, G Durantin, F Lancelot, S Scannella… - PloS one, 2015 - journals.plos.org
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 …