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 …

This study presents first evidence that reliable EEG data can be recorded with a new
cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and …

Objective. Recent studies have provided evidence that temporal envelope driven speech
decoding from high-density electroencephalography (EEG) and magnetoencephalography …

Motor imagery (MI) combined with real-time electroencephalogram (EEG) feedback is a
popular approach for steering brain–computer interfaces (BCI). MI BCI has been considered …

Target speaker identification is essential for speech enhancement algorithms in assistive
devices aimed toward helping the hearing impaired. Several recent studies have reported …

Motor imagery (MI) based brain-computer interface (BCI) has been developed as an
alternative therapy for stroke rehabilitation. However, experimental evidence demonstrates …

Interpersonal synchrony refers to the temporal coordination of actions between individuals
and is a common feature of social behaviors, from team sport to ensemble music …

Electroencephalography based brain-computer interfaces (BCIs) show promise of providing
an alternative communication channel between the brain and an external device. It is well …

Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for
neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel …