Shedding light on neuroscience: Two decades of functional near‐infrared spectroscopy applications and advances from a bibliometric perspective
MÂM Devezas - Journal of Neuroimaging, 2021 - Wiley Online Library
Functional near‐infrared spectroscopy (fNIRS) is a noninvasive optical brain‐imaging
technique that detects changes in hemoglobin concentration in the cerebral cortex. fNIRS …
technique that detects changes in hemoglobin concentration in the cerebral cortex. fNIRS …
[HTML][HTML] Emotion recognition from EEG-based relative power spectral topography using convolutional neural network
Emotion recognition, a challenging computational issue, finds interesting applications in
diverse fields. Usually, feature-based machine-learning methods have been used for …
diverse fields. Usually, feature-based machine-learning methods have been used for …
The potential role of fNIRS in evaluating levels of consciousness
Over the last few decades, neuroimaging techniques have transformed our understanding of
the brain and the effect of neurological conditions on brain function. More recently, light …
the brain and the effect of neurological conditions on brain function. More recently, light …
Improvement of classification accuracy of four-class voluntary-imagery fNIRS signals using convolutional neural networks
Abstract Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has
become a convenient way for optical brain-computer interface. fNIRS signal classification …
become a convenient way for optical brain-computer interface. fNIRS signal classification …
Electroencephalogram-based cognitive load level classification using wavelet decomposition and support vector machine
Cognitive load level identification is an interesting challenge in the field of brain-computer-
interface. The sole objective of this work is to classify different cognitive load levels from …
interface. The sole objective of this work is to classify different cognitive load levels from …
[HTML][HTML] Statistical valuation of cognitive load level hemodynamics from functional near-infrared spectroscopy signals
Human cognitive load level assessment is a challenging issue in the field of functional brain
imaging. This work aims to study different cognitive load levels statistically from brain …
imaging. This work aims to study different cognitive load levels statistically from brain …
Optimized localization learning algorithm for indoor and outdoor localization system in WSNs
The localization problem in wireless sensor networks (WSN) has recently received justifiable
interest from researchers. Various optimization/learning algorithms are used to determine …
interest from researchers. Various optimization/learning algorithms are used to determine …
Q-Learning based optimized localization in WSN
Localization is an critical issue to solve because, in some instances, it is crucial to identify
the pinpoint location of the nodes due to unfavorable circumstances. Various optimization …
the pinpoint location of the nodes due to unfavorable circumstances. Various optimization …
Assessment of cognitive workload using simultaneous EEG and fNIRS: A comparison of feature combinations
A Ghasimi, S Shamekhi - Computers and Electrical Engineering, 2024 - Elsevier
The assessment of cognitive workload is a critical component in evaluating mental activity. It
is essential in psychology, especially in professions with heightened cognitive demands …
is essential in psychology, especially in professions with heightened cognitive demands …
The effects of a virtual reality rehabilitation task on elderly subjects: An experimental study using multimodal data
Ageing populations are becoming a global issue. Against this background, the assessment
and treatment of geriatric conditions have become increasingly important. This study draws …
and treatment of geriatric conditions have become increasingly important. This study draws …