Using fiberless, wearable fNIRS to monitor brain activity in real-world cognitive tasks

P Pinti, C Aichelburg, F Lind, S Power… - JoVE (Journal of …, 2015 - jove.com
Functional Near Infrared Spectroscopy (fNIRS) is a neuroimaging technique that uses near-
infrared light to monitor brain activity. Based on neurovascular coupling, fNIRS is able to …

[HTML][HTML] Multisubject “learning” for mental workload classification using concurrent EEG, fNIRS, and physiological measures

Y Liu, H Ayaz, PA Shewokis - Frontiers in human neuroscience, 2017 - frontiersin.org
An accurate measure of mental workload level has diverse neuroergonomic applications
ranging from brain computer interfacing to improving the efficiency of human operators. In …

M3BA: a mobile, modular, multimodal biosignal acquisition architecture for miniaturized EEG-NIRS-based hybrid BCI and monitoring

A von Lühmann, H Wabnitz, T Sander… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Objective: For the further development of the fields of telemedicine, neurotechnology, and
brain-computer interfaces, advances in hybrid multimodal signal acquisition and processing …

[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 …

LIDAR obstacle warning and avoidance system for unmanned aerial vehicle sense-and-avoid

S Ramasamy, R Sabatini, A Gardi, J Liu - Aerospace Science and …, 2016 - Elsevier
The demand for reliable obstacle warning and avoidance capabilities to ensure safe low-
level flight operations has led to the development of various practical systems suitable for …

The age of neuroergonomics: towards ubiquitous and continuous measurement of brain function with fNIRS

A Curtin, H Ayaz - Japanese Psychological Research, 2018 - Wiley Online Library
Neuroergonomics is an emerging field that investigates the human brain in relation to
behavioral performance in natural environments and everyday settings. Functional near …

Cognitive pilot-aircraft interface for single-pilot operations

J Liu, A Gardi, S Ramasamy, Y Lim… - Knowledge-based systems, 2016 - Elsevier
Considering the foreseen expansion of the air transportation system within the next two
decades and the opportunities offered by higher levels of automation, Single-Pilot …

[HTML][HTML] Transcranial direct current stimulation modulates neuronal activity and learning in pilot training

J Choe, BA Coffman, DT Bergstedt… - Frontiers in human …, 2016 - frontiersin.org
Skill acquisition requires distributed learning both within (online) and across (offline) days to
consolidate experiences into newly learned abilities. In particular, piloting an aircraft …

[HTML][HTML] Application of functional near-infrared spectroscopy to the study of brain function in humans and animal models

HY Kim, K Seo, HJ Jeon, U Lee, H Lee - Molecules and cells, 2017 - Elsevier
Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique
that indirectly assesses neuronal activity by measuring changes in oxygenated and …