This review article discusses the definition and implementation of brain–computer interface
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …

Prolonged bed rest causes a multitude of deleterious physiological changes in the human
body that require interventions even during immobilization to prevent or minimize these …

Abstract Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all
subjects can achieve a good performance in MI-BCI systems due to different factors related …

Objective. This work proposes a method for two calibration schemes based on sensory
feedback to extract reliable motor imagery (MI) features, and provide classification outputs …

Background The COVID-19 pandemic has forced unexpected changes to ordinary societal
life, including the education system. Due to COVID-19 restrictions, multiple aspects of …

The demand for public datasets has increased as data-driven methodologies have been
introduced in the field of brain-computer interfaces (BCIs). Indeed, many BCI datasets are …

Tactile Imagery (TI) remains a fairly understudied phenomenon despite growing attention to
this topic in recent years. Here, we investigated the effects of TI on corticospinal excitability …

Background: Hand trauma requires specific rehabilitation protocol depending on the
different structures involved. According to type of surgical intervention, and for monitoring …

Studying the motor-control mechanisms of the brain is critical in academia and also has
practical implications because techniques such as brain-computer interfaces (BCIs) can be …

Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing
out due to their potential for lower-limb recovery. In this scenario, the behaviors of the …