Type 1 Diabetes (T1D) is an autoimmune disease that affects millions of people worldwide.
A critical issue in T1D patients is the managing of Postprandial Glucose Response (PGR) …

Brain–computer interfaces (BCI) started out as expensive, nonportable assistive devices
built to bypass conventional human communication and control channels (ie peripheral …

Recognizing emotions from electroencephalography (EEG) signals is a trustworthy and
reliable method to monitor the mental health of patients and the enthusiasm of individual …

The monitoring and management of Postprandial Glucose Response (PGR), by
administering an insulin bolus before meals, is a crucial issue in Type 1 Diabetes (T1D) …

Computer-based learning has gained popularity in recent years, providing learners greater
flexibility and freedom. However, these learning environments do not consider the learner's …

In the field of passive Brain–computer Interfaces (BCI), the need to develop systems that
require rapid setup, suitable for use outside of laboratories is a fundamental challenge …

In order to promote safer and more efficient human-machine interaction, this article
advocates for the employment of adaptive systems that account for the user's mental state …

An electroencephalogram (EEG) identifies neuronal activity as electrical currents produced
by a group of specialized pyramidal cells within the brain due to synchronized activity. EEG …

Music has been shown to have a positive impact on human brain performance, with music
stimuli commonly utilized in therapeutic applications to reduce anxiety, stress, and various …

A neurofeedback (NF)-supported training is proposed to enable neurosurgeons to learn how
to regulate their emotions. Electroencephalographic (EEG) signal and heart rate (HR) of 5 …