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Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings
2016
IEEE journal of biomedical and health informatics
Electroencephalography (EEG) is the recording of electrical activity produced by the firing of neurons within the brain. These activities can be decoded by signal processing techniques. However, EEG recordings are always contaminated with artifacts which hinder the decoding process. Therefore, identifying and removing artifacts is an important step. Researchers often clean EEG recordings with assistance from independent component analysis (ICA), since it can decompose EEG recordings into a
doi:10.1109/jbhi.2014.2370646
pmid:25415992
pmcid:PMC5309922
fatcat:hq26gnq4brelbhwjrpfncemrzu