Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …

Brain-Computer Interfaces (BCI) constitute an alternative channel of communication
between humans and environment. There are a number of different technologies which …

In this study, three popular signal processing techniques (Empirical Mode Decomposition,
Discrete Wavelet Transform, and Wavelet Packet Decomposition) were investigated for the …

In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …

This paper covers a brief review of both the advantages and disadvantages of the
implementation of various smoothing filters in the analysis of electroencephalography (EEG) …

Objective. The article aims at addressing 2 challenges to step motor brain-computer
interface (BCI) out of laboratories: asynchronous control of complex bimanual effectors with …

This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …

Технология интерфейсов мозг–компьютер (ИМК) позволяет человеку научиться
управлять внешними исполнительными устройствами посредством произвольной …

Due to great advances in the field of information technology, the need for a more reliable
authentication system has been growing rapidly for protecting the individual or …

Objective. Considering the importance and the near-future development of noninvasive
brain–machine interface (BMI) systems, this paper presents a comprehensive theoretical …