Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system
originally developed for continuous and non-invasive monitoring of brain function by …

In this study, a channel and feature selection methodology is devised for brain‐computer
interface (BCI) applications using functional near‐infrared spectroscopy (fNIRS). A graph …

Neurofeedback training (NFT) is a non-invasive, safe, and effective method of regulating the
nerve state of the brain. Presently, NFT is widely used to prevent and rehabilitate brain …

Besides passive recording of brain electric or magnetic activity, also non-ionizing
electromagnetic or optical radiation can be used for real-time brain imaging. Here, changes …

Objective: Most Deep Learning (DL) methods for the classification of functional Near-Infrared
Spectroscopy (fNIRS) signals do so without explaining which features contribute to the …

This review provides a comprehensive examination of recent developments in both
neurofeedback and brain-computer interface (BCI) within the medical field and …

Objective Pilot testing of real time functional magnetic resonance imaging (rt-fMRI) and real
time functional near infrared spectroscopy (rt-fNIRS) as brain computer interface (BCI) …

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two
commonly used non-invasive techniques for measuring brain activity in neuroscience and …

Stress is one of the contributing factors affecting decision-making. Therefore, early stress
recognition is essential to improve clinicians' decision-making performance. Functional near …