The current evolution of 'cloud neuroscience'leads to more efforts with the large-scale EEG
applications, by using EEG pipelines to handle the rapidly accumulating EEG data …

Major depressive disorder (MDD) is a prevalent and debilitating psychiatric disease that
leads to substantial loss of quality of life. There has been little progress in developing new …

Electroencephalography (EEG) to study brain functions has become fundamental in many
research settings across very different protocols. Indeed, a plethora of processing methods …

One theory of the origins of reading disorders (ie, dyslexia) is a language network which
cannot effectively 'entrain'to speech, with cascading effects on the development of …

During the acquisition of electroencephalographic (EEG) signals, various factors can
influence the data and lead to the presence of one or multiple bad channels. Bad channel …

Motor imagery-based brain–computer interfaces (BCI) have been widely recognized as
beneficial tools for rehabilitation applications. Moreover, visually guided motor imagery was …

Electroencephalogram (EEG) signals are bioelectrical activities generated by the central
nervous system. As a unique information factor, they are correlated with the genetic …

Objective Single-trial event-related potentials (ERPs) offer fine-grained information about the
trajectories of the neurocognitive processes but are highly sensitive to any artifacts in the …

High-density electromyography (HD-EMG) arrays are useful for studying muscle activation in
a spatial dimension. This paper studies interpolation techniques for the reconstruction of …

We measured electroencephalography (EEG) data streams from participants wearing a
wireless EEG headset in two modes: eyes open and eyes closed. Then we analyzed the …