Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

Automated preprocessing methods are critically needed to process the large publicly-
available EEG databases, but the optimal approach remains unknown because we lack data …

Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable,
component-based method that can effectively remove transient or large-amplitude artifacts …

Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

Electroenchephalography (EEG) recordings collected with developmental populations
present particular challenges from a data processing perspective. These EEGs have a high …

One of the greatest challenges that hinder the decoding and application of
electroencephalography (EEG) is that EEG recordings almost always contain artifacts-non …

Conventional leg prostheses do not convey sensory information about motion or interaction
with the ground to above-knee amputees, thereby reducing confidence and walking speed …

The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the
brain. It is based upon placing conductive electrodes on the scalp which measure the small …