A closed-loop BCI based on EEG alpha activity modulated by covert visuospatial attention – Intro

Alpha oscillations (8-14 Hz) are one of the most prominent electrophysiological signals from the human scalp. Previous research demonstrated that alpha activity is modulated by covert spatial attention and these modulations could be used as a control signal for brain-computer interface (BCI). The main goal of this study was to build a classifier, on a…

Introduction to Mu Waves

Brain-Computer Interfaces (BCI) are currently being pursued in several approaches by different researchers and people around the World. One approach is to measure the “Mu Rhythms”, or also known as “Mu Waves” from the sensorimotor area of one’s brain by registering an EEG signal. The Mu Waves are associated with the movement of the body –…