Multi-class Classification of EEG Spectral Data for Artifact Detection

Novel eye‐blink artefact detection algorithm from raw EEG signals using FCN‐based semantic segmentation method

“…External sources are often related to experimental conditions, whereas internal artefacts are usually produced by subjects. Typical internal artefacts are related to blinking, eye movement and muscle activities [2 ]. Due to such artefacts, it becomes difficult for experts to evaluate EEG signals [3, 4 ].…”