This paper presents an extensive review on the artifact removal algorithms used to remove
the main sources of interference encountered in the electroencephalogram (EEG) …

Independent component analysis (ICA) is increasing in popularity in the field of biomedical
signal processing. It is generally used when it is required to separate measured multi …

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

Eye movements, eye blinks, cardiac signals, muscle noise, and line noise present serious
problems for electroencephalographic (EEG) interpretation and analysis when rejecting …

Objectives: Electrical potentials produced by blinks and eye movements present serious
problems for electroencephalographic (EEG) and event-related potential (ERP) data …

Abstract Event-related potentials (ERPs), are portions of electroencephalo (cid: 173) graphic
(EEG) recordings that are both time-and phase-locked to experimental events. ERPs are …

Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks,
muscle, heart and line noise is a serious problem for EEG interpretation and analysis …

The analysis of electroencephalographic and magnetoencephalographic recordings is
important both for basic brain research and for medical diagnosis and treatment …

Principal components analysis (PCA) can facilitate analysis of event‐related potential (ERP)
components. Geomin, Oblimin, Varimax, Promax, and Infomax (independent components …

Human event-related potentials (ERPs) were recorded from 10 subjects presented with
visual target and nontarget stimuli at five screen locations and responding to targets …