[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective

A von Lühmann, A Ortega-Martinez… - Frontiers in human …, 2020 - frontiersin.org
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS)
signals has gained significant momentum, and fNIRS joined the set of modalities frequently …

[HTML][HTML] Into the wild: neuroergonomic differentiation of hand-held and augmented reality wearable displays during outdoor navigation with functional near infrared …

R McKendrick, R Parasuraman, R Murtza… - Frontiers in human …, 2016 - frontiersin.org
Highly mobile computing devices promise to improve quality of life, productivity, and
performance. Increased situation awareness and reduced mental workload are two potential …

[HTML][HTML] Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation

R McKendrick, R Parasuraman, H Ayaz - Frontiers in systems …, 2015 - frontiersin.org
Contemporary studies with transcranial direct current stimulation (tDCS) provide a growing
base of evidence for enhancing cognition through the non-invasive delivery of weak electric …

[HTML][HTML] Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application

N Naseer, FM Noori, NK Qureshi… - Frontiers in human …, 2016 - frontiersin.org
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 …

[HTML][HTML] Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface

U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt… - Frontiers in …, 2020 - frontiersin.org
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 …

Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left …

T Trakoolwilaiwan, B Behboodi, J Lee, K Kim… - …, 2018 - spiedigitallibrary.org
The aim of this work is to develop an effective brain–computer interface (BCI) method based
on functional near-infrared spectroscopy (fNIRS). In order to improve the performance of the …

[HTML][HTML] Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review

H Khan, N Naseer, A Yazidi, PK Eide… - Frontiers in Human …, 2021 - frontiersin.org
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 …