Electroencephalogram (EEG) signals are progressively growing data widely known as
biomedical big data, which is applied in biomedical and healthcare research. The …

Electroencephalography (EEG) is a diagnostic test that records and measures the electrical
activity of the human brain. Research investigating human behaviors and conditions using …

Brain activities commonly recorded using the electroencephalogram (EEG) are
contaminated with ocular artifacts. These activities can be suppressed using a robust …

Accurate eye blink artifact detection is essential for electroencephalogram (EEG) analysis
and auxiliary analysis of nervous system diseases, especially in the presence of the frontal …

Characterizing dementia is a global challenge in supporting personalized health care. The
electroencephalogram (EEG) is a promising tool to support the diagnosis and evaluation of …

Abstract Background The visual evoked Electroencephalogram (EEG) signals are useful
indicators to explore the hidden neural circuitry in human brain. But these signals are highly …

Electroencephalograms are the neurological signals which help in the study of various
diseases. These are often contaminated with various artifacts. It is difficult to study and …

Electroencephalography (EEG) is a non-intrusive method used to capture electrical potential
generated by brain neurons, which is crucial for diagnosing neurological disorders like …

The artifacts such as ocular, muscle and certain electrical disturbances contaminate the
Electroencephalogram (EEG). Wavelet enhanced independent component analysis (wICA) …

Background Rehabilitation robots integrated with brain-machine interaction (BMI) can
facilitate stroke patients' recovery by closing the loop between motor intention and actual …