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 …

Objective. Electroencephalography (EEG) analysis has been an important tool in
neuroscience with applications in neuroscience, neural engineering (eg Brain–computer …

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

Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …

Objective. Lower-limb, powered robotics systems such as exoskeletons and orthoses have
emerged as novel robotic interventions to assist or rehabilitate people with walking …

Background Many studies have demonstrated the usefulness of repetitive task practice by
using robotic-assisted gait training (RAGT) devices, including Lokomat, for the treatment of …

Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …

Background Artifact contamination reduces the accuracy of various EEG based
neuroengineering applications. With time, biomedical signal denoising has been the utmost …

Ocular artifacts (OAs) are one the most important form of interferences in the analysis of
electroencephalogram (EEG) research. OAs removal/reduction is a key analysis before the …