With the emergence of an increasing number of functional near-infrared spectroscopy
(fNIRS) devices, the significant deterioration in measurement caused by motion artifacts has …

Functional connectivity between the brain and body kinematics has largely not been
investigated due to the requirement of motionlessness in neuroimaging techniques such as …

Image processing technologies and computer-aided diagnosis are medical technologies
used to support decision-making processes of radiologists and medical professionals who …

The increasing interest in innovative solutions for health and physiological monitoring has
recently fostered the development of smaller biomedical devices. These devices are …

Functional near-infrared spectroscopy (fNIRS) allows for a reliable assessment of
oxygenated blood flow in relevant brain regions. Recent advancements in immersive virtual …

Abstract Characterization of cortical activation patterns during movements in healthy adults
may help our understanding of how the injured brain works. Upper limb motor tasks are …

As a widely used brain–computer interface (BCI) paradigm, steady-state visually evoked
potential (SSVEP)-based BCIs have the advantages of high information transfer rates, high …

This paper investigates the problem of classification of multi-class movement execution
tasks from signals obtained via functional near infrared spectroscopy (fNIRS). fNIRS data is …

As a relatively new physiological signal of brain, functional near-infrared spectroscopy
(fNIRS) is being used more and more in brain–computer interface field, especially in the task …

Background Functional imaging studies have associated dystonia with abnormal activation
in motor and sensory brain regions. Commonly used techniques such as functional …