One approach to understanding processes that underlie skilled performing has been to
study electrical brain activity using electroencephalography (EEG). A notorious problem with …

Electroencephalographic (EEG) recordings are often contaminated by artifacts, ie, signals
with noncerebral origin that might mimic some cognitive or pathologic activity, this way …

Electroencephalography (EEG) is almost contaminated with many artifacts while recording
the brain signal activity. Clinical diagnostic and brain computer interface applications …

Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely
used in several applications including cognitive tasks, sleep stage detection, and seizure …

Muscle artifacts are typically associated with sleep arousals and awakenings in normal and
pathological sleep, contaminating EEG recordings and distorting quantitative EEG results …

Analogy instructions may promote effective skill acquisition by providing movement-specific
information that can be processed as a single, meaningful unit, rather than as separate “bits” …

This study examined the role of verbal instruction preference when learning motor skills by
analogy. During skill learning, analogies are a useful tool for providing knowledge about …

Objective: Independent component analysis (ICA) is commonly used to remove noisy
artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes …

In this research paper, an effective approach to classify and extract feature vector of different
facial expressions and movements recorded using Non-invasive Electroencephalogram …

EEG is the most popular potential non-invasive interface, mainly due to its fine temporal
resolution, ease of use, portability and low set-up cost. However, it has some limitations. The …