Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Abstract Brain Computer Interface (BCI) is defined as a combination of hardware and
software that allows brain activities to control external devices or even computers. The …

Dry electrode electroencephalogram (EEG) recording combined with wireless data
transmission offers an alternative tool to conventional wet electrode EEG systems. However …

Recent advances in dry electrodes technology have facilitated the recording of EEG in
situations not previously possible, thanks to the relatively swift electrode preparation and …

Abstract Brain–Computer Interfaces (BCI) are systems that translate brain activity patterns
into commands for an interactive application, and some of them recognize patterns …

This paper proposes a wearable monitoring system for inspection in the framework of
Industry 4.0. The instrument integrates augmented reality (AR) glasses with a noninvasive …

Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Objective: Brain-computer interfaces (BCIs) have tremendous application potential in
communication, mechatronic control and rehabilitation. However, existing BCI systems are …

Abstract The Common Spatial Pattern (CSP) algorithm is the most widely used method for
decoding Electroencephalography (EEG) signals from motor imagery (MI) paradigm …